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Harris SE, Riggio V, Evenden L, Gilchrist T, McCafferty S, Murphy L, Wrobel N, Taylor AM, Corley J, Pattie A, Cox SR, Martin-Ruiz C, Prendergast J, Starr JM, Marioni RE, Deary IJ. Age-related gene expression changes, and transcriptome wide association study of physical and cognitive aging traits, in the Lothian Birth Cohort 1936. Aging (Albany NY) 2017; 9:2489-2503. [PMID: 29207374 PMCID: PMC5764388 DOI: 10.18632/aging.101333] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Accepted: 11/26/2017] [Indexed: 12/11/2022]
Abstract
Gene expression is influenced by both genetic variants and the environment. As individuals age, changes in gene expression may be associated with decline in physical and cognitive abilities. We measured transcriptome-wide expression levels in lymphoblastoid cell lines derived from members of the Lothian Birth Cohort 1936 at mean ages 70 and 76 years. Changes in gene expression levels were identified for 1,741 transcripts in 434 individuals. Gene Ontology enrichment analysis indicated an enrichment of biological processes involved in the immune system. Transcriptome-wide association analysis was performed for eleven cognitive, fitness, and biomedical aging-related traits at age 70 years (N=665 to 781) and with mortality. Transcripts for genes (F2RL3, EMILIN1 and CDC42BPA) previously identified as being differentially methylated or expressed in smoking or smoking-related cancers were overexpressed in smokers compared to non-smokers and the expression of transcripts for genes (HERPUD1, GAB2, FAM167A and GLS) previously associated with stress response, autoimmune disease and cancer were associated with telomere length. No associations between expression levels and other traits, or mortality were identified.
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Affiliation(s)
- Sarah E. Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh EH4 2XU, UK
| | - Valentina Riggio
- The Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush Campus, Midlothian EH25 9RG, UK
| | - Louise Evenden
- Edinburgh Clinical Research Facility, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Tamara Gilchrist
- Edinburgh Clinical Research Facility, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Sarah McCafferty
- Edinburgh Clinical Research Facility, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Lee Murphy
- Edinburgh Clinical Research Facility, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Nicola Wrobel
- Edinburgh Clinical Research Facility, University of Edinburgh, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Adele M. Taylor
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Janie Corley
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Alison Pattie
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Simon R. Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Carmen Martin-Ruiz
- Institute for Ageing, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK
| | - James Prendergast
- The Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush Campus, Midlothian EH25 9RG, UK
| | - John M. Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Riccardo E. Marioni
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh EH4 2XU, UK
- Queensland Brain Institute, The University of Queensland, Brisbane 4072, QLD, Australia
| | - Ian J. Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
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Lam M, Trampush JW, Yu J, Knowles E, Davies G, Liewald DC, Starr JM, Djurovic S, Melle I, Sundet K, Christoforou A, Reinvang I, DeRosse P, Lundervold AJ, Steen VM, Espeseth T, Räikkönen K, Widen E, Palotie A, Eriksson JG, Giegling I, Konte B, Roussos P, Giakoumaki S, Burdick KE, Payton A, Ollier W, Chiba-Falek O, Attix DK, Need AC, Cirulli ET, Voineskos AN, Stefanis NC, Avramopoulos D, Hatzimanolis A, Arking DE, Smyrnis N, Bilder RM, Freimer NA, Cannon TD, London E, Poldrack RA, Sabb FW, Congdon E, Conley ED, Scult MA, Dickinson D, Straub RE, Donohoe G, Morris D, Corvin A, Gill M, Hariri AR, Weinberger DR, Pendleton N, Bitsios P, Rujescu D, Lahti J, Le Hellard S, Keller MC, Andreassen OA, Deary IJ, Glahn DC, Malhotra AK, Lencz T. Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets. Cell Rep 2017; 21:2597-2613. [PMID: 29186694 PMCID: PMC5789458 DOI: 10.1016/j.celrep.2017.11.028] [Citation(s) in RCA: 74] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Revised: 10/02/2017] [Accepted: 11/03/2017] [Indexed: 12/12/2022] Open
Abstract
Here, we present a large (n = 107,207) genome-wide association study (GWAS) of general cognitive ability ("g"), further enhanced by combining results with a large-scale GWAS of educational attainment. We identified 70 independent genomic loci associated with general cognitive ability. Results showed significant enrichment for genes causing Mendelian disorders with an intellectual disability phenotype. Competitive pathway analysis implicated the biological processes of neurogenesis and synaptic regulation, as well as the gene targets of two pharmacologic agents: cinnarizine, a T-type calcium channel blocker, and LY97241, a potassium channel inhibitor. Transcriptome-wide and epigenome-wide analysis revealed that the implicated loci were enriched for genes expressed across all brain regions (most strongly in the cerebellum). Enrichment was exclusive to genes expressed in neurons but not oligodendrocytes or astrocytes. Finally, we report genetic correlations between cognitive ability and disparate phenotypes including psychiatric disorders, several autoimmune disorders, longevity, and maternal age at first birth.
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Affiliation(s)
- Max Lam
- Institute of Mental Health, Singapore, Singapore
| | | | - Jin Yu
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
| | - Emma Knowles
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Gail Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - David C Liewald
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, University of Bergen, Oslo, Norway; NORMENT, K.G. Jebsen Centre for Psychosis Research, University of Bergen, Bergen, Norway
| | - Ingrid Melle
- NORMENT, K.G. Jebsen Centre for Psychosis Research, University of Bergen, Bergen, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Kjetil Sundet
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Andrea Christoforou
- Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Ivar Reinvang
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Pamela DeRosse
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
| | - Astri J Lundervold
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Vidar M Steen
- NORMENT, K.G. Jebsen Centre for Psychosis Research, University of Bergen, Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Thomas Espeseth
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Katri Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Elisabeth Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland; Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK; Department of Medical Genetics, University of Helsinki and University Central Hospital, Helsinki, Finland
| | - Johan G Eriksson
- Department of General Practice, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; National Institute for Health and Welfare, Helsinki, Finland; Folkhälsan Research Center, Helsinki, Finland
| | - Ina Giegling
- Department of Psychiatry, Martin Luther University of Halle-Wittenberg, Halle, Germany
| | - Bettina Konte
- Department of Psychiatry, Martin Luther University of Halle-Wittenberg, Halle, Germany
| | - Panos Roussos
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Genetics and Genomic Science and Institute for Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Mental Illness Research, Education, and Clinical Center (VISN 2), James J. Peters VA Medical Center, Bronx, NY, USA
| | | | - Katherine E Burdick
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Mental Illness Research, Education, and Clinical Center (VISN 2), James J. Peters VA Medical Center, Bronx, NY, USA; Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Antony Payton
- Centre for Epidemiology, Division of Population Health, Health Services Research & Primary Care, The University of Manchester, Manchester, UK
| | - William Ollier
- Centre for Epidemiology, Division of Population Health, Health Services Research & Primary Care, The University of Manchester, Manchester, UK; Centre for Integrated Genomic Medical Research, Institute of Population Health, University of Manchester, Manchester, UK
| | - Ornit Chiba-Falek
- Department of Neurology, Bryan Alzheimer's Disease Research Center and Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC, USA
| | - Deborah K Attix
- Department of Neurology, Bryan Alzheimer's Disease Research Center and Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC, USA; Department of Psychiatry and Behavioral Sciences, Division of Medical Psychology, Duke University Medical Center, Durham, NC, USA
| | - Anna C Need
- Division of Brain Sciences, Department of Medicine, Imperial College, London, UK
| | | | - Aristotle N Voineskos
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Canada
| | - Nikos C Stefanis
- Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece; University Mental Health Research Institute, Athens, Greece; Neurobiology Research Institute, Theodor-Theohari Cozzika Foundation, Athens, Greece
| | - Dimitrios Avramopoulos
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA; McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alex Hatzimanolis
- Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece; University Mental Health Research Institute, Athens, Greece; Neurobiology Research Institute, Theodor-Theohari Cozzika Foundation, Athens, Greece
| | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nikolaos Smyrnis
- Department of Psychiatry, National and Kapodistrian University of Athens Medical School, Eginition Hospital, Athens, Greece; University Mental Health Research Institute, Athens, Greece
| | - Robert M Bilder
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Nelson A Freimer
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Edythe London
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | | | - Fred W Sabb
- Robert and Beverly Lewis Center for Neuroimaging, University of Oregon, Eugene, OR, USA
| | - Eliza Congdon
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | | | - Matthew A Scult
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Dwight Dickinson
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institute of Health, Bethesda, MD, USA
| | - Richard E Straub
- Lieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, MD, USA
| | - Gary Donohoe
- Neuroimaging, Cognition & Genomics (NICOG) Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland, Galway, Ireland
| | - Derek Morris
- Neuroimaging, Cognition & Genomics (NICOG) Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland, Galway, Ireland
| | - Aiden Corvin
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Michael Gill
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Ahmad R Hariri
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, NC, USA
| | - Daniel R Weinberger
- Lieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, MD, USA
| | - Neil Pendleton
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Salford Royal NHS Foundation Trust, Manchester, UK
| | - Panos Bitsios
- Department of Psychiatry and Behavioral Sciences, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Dan Rujescu
- Department of Psychiatry, Martin Luther University of Halle-Wittenberg, Halle, Germany
| | - Jari Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland; Helsinki Collegium for Advanced Studies, University of Helsinki, Helsinki, Finland
| | - Stephanie Le Hellard
- NORMENT, K.G. Jebsen Centre for Psychosis Research, University of Bergen, Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Matthew C Keller
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
| | - Ole A Andreassen
- NORMENT, K.G. Jebsen Centre for Psychosis Research, University of Bergen, Bergen, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - David C Glahn
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Anil K Malhotra
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA; Department of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, NY, USA; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Todd Lencz
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA; Department of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, NY, USA; Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA.
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Bearden CE, Glahn DC. Cognitive genomics: Searching for the genetic roots of neuropsychological functioning. Neuropsychology 2017; 31:1003-1019. [PMID: 29376674 PMCID: PMC5791763 DOI: 10.1037/neu0000412] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
OBJECTIVE Human cognition has long been known to be under substantial genetic control. With the complete mapping of the human genome, genome-wide association studies for many complex traits have proliferated; however, the highly polygenic nature of intelligence has made the identification of the precise genes that influence both global and specific cognitive abilities more difficult than anticipated. METHOD Here, we review the latest developments in the genomics of cognition, including a discussion of methodological advances in the genetic analysis of complex traits, and shared genetic contributions to cognitive abilities and neuropsychiatric disorders. RESULTS A wealth of twin and family studies have provided compelling evidence for a strong heritable component of both global and specific cognitive abilities, and for the existence of "generalist genes" responsible for a large portion of the variance in diverse cognitive abilities. Increasingly sophisticated analytic tools and ever-larger sample sizes are now facilitating the identification of specific genetic and molecular underpinnings of cognitive abilities, leading to optimism regarding possibilities for novel treatments for illnesses related to cognitive function. CONCLUSIONS We conclude with a set of future directions for the field, which will further accelerate discoveries regarding the biological pathways relevant to cognitive abilities. These, in turn, may be further interrogated in order to link biological mechanisms to behavior. (PsycINFO Database Record
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Affiliation(s)
- Carrie E Bearden
- Department of Psychiatry, University of California at Los Angeles
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Yüksel D, Dietsche B, Forstner AJ, Witt SH, Maier R, Rietschel M, Konrad C, Nöthen MM, Dannlowski U, Baune BT, Kircher T, Krug A. Polygenic risk for depression and the neural correlates of working memory in healthy subjects. Prog Neuropsychopharmacol Biol Psychiatry 2017. [PMID: 28624581 DOI: 10.1016/j.pnpbp.2017.06.010] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
INTRODUCTION Major depressive disorder (MDD) patients show impairments of cognitive functioning such as working memory (WM), and furthermore alterations during WM-fMRI tasks especially in frontal and parietal brain regions. The calculation of a polygenic risk score (PRS) can be used to describe the genetic influence on MDD, hence imaging genetic studies aspire to combine both genetics and neuroimaging data to identify the influence of genetic factors on brain functioning. We aimed to detect the effect of MDD-PRS on brain activation during a WM task measured with fMRI and expect healthy individuals with a higher PRS to be more resembling to MDD patients. METHOD In total, n=137 (80 men, 57 women, aged 34.5, SD=10.4years) healthy subjects performed a WM n-back task [0-back (baseline), 2-back and 3-back condition] in a 3T-MRI-tomograph. The sample was genotyped using the Infinium PsychArray BeadChip and a polygenic risk score was calculated for MDD using PGC MDD GWAS results. RESULTS A lower MDD risk score was associated with increased activation in the bilateral middle occipital gyri (MOG), the bilateral middle frontal gyri (MFG) and the right precentral gyrus (PCG) during the 2-back vs. baseline condition. Moreover, a lower PRS was associated with increased brain activation during the 3-back vs. baseline condition in the bilateral cerebellum, the right MFG and the left inferior parietal lobule. A higher polygenic risk score was associated with hyperactivation in brain regions comprising the right MFG and the right supplementary motor area during the 3-back vs. 2-back condition. DISCUSSION The results suggest that part of the WM-related brain activation patterns might be explained by genetic variants captured by the MDD-PRS. Furthermore we were able to detect MDD-associated activation patterns in healthy individuals depending on the MDD-PRS and the task complexity. Additional gene loci could contribute to these task-dependent brain activation patterns.
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Affiliation(s)
- Dilara Yüksel
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany.
| | - Bruno Dietsche
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
| | - Andreas J Forstner
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany; Institute of Human Genetics, University of Bonn, Bonn, Germany; Division of Medical Genetics, Department of Biomedicine, University of Basel, Basel, Switzerland; Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | - Stephanie H Witt
- Discipline Department of Genetic Epidemiology, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Robert Maier
- Discipline Queensland Brain Institute, The University of Queensland, Australia
| | - Marcella Rietschel
- Discipline Department of Genetic Epidemiology, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Carsten Konrad
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Agaplesion Diakonieklinikum Rotenberg, Centre for Psychosocial Medicine, Elise-Averdieck-Straße 17, 27356 Rotenburg (Wümme), Germany
| | - Markus M Nöthen
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany; Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - Udo Dannlowski
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; Department of Psychiatry, University of Münster, Münster, Germany
| | - Bernhard T Baune
- Discipline of Psychiatry, School of Medicine, University of Adelaide, Adelaide, Australia
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany
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Is the association between offspring intelligence and parents' educational attainment influenced by schizophrenia or mood disorder in parents? SCHIZOPHRENIA RESEARCH-COGNITION 2017; 9:18-22. [PMID: 28868239 PMCID: PMC5542375 DOI: 10.1016/j.scog.2017.07.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Revised: 07/02/2017] [Accepted: 07/04/2017] [Indexed: 11/22/2022]
Abstract
Results from twin, family, and adoption studies all suggest that general intelligence is highly heritable. Several studies have shown lower premorbid intelligence in individuals before the onset of both mood disorders and psychosis, as well as in children and adolescents at genetic high risk for developing schizophrenia. Based on these findings, we aim to investigate if the association between educational achievement in parents and intelligence in their offspring is influenced by schizophrenia or mood disorder in parents. In a large population-based sample of young adult male conscripts (n = 156,531) the presence of a mental disorder in the parents were associated with significantly lower offspring scores on a test of general intelligence, the Børge Priens Prøve (BPP), and higher educational attainment in parents was significantly associated with higher BPP test scores in offspring. A significant interaction suggested that the positive association between maternal education and offspring intelligence was stronger in offspring of mothers with schizophrenia compared to the control group (p = 0.03). The associations between parental education and offspring intelligence are also observed when restricting the sample to conscripts whose parents are diagnosed after 30 years of age. In conclusion, findings from this study show a more positive effect of education on offspring intelligence in mothers with schizophrenia compared to mothers from the control group. This effect could have both environmental and genetic explanations.
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Arpawong TE, Pendleton N, Mekli K, McArdle JJ, Gatz M, Armoskus C, Knowles JA, Prescott CA. Genetic variants specific to aging-related verbal memory: Insights from GWASs in a population-based cohort. PLoS One 2017; 12:e0182448. [PMID: 28800603 PMCID: PMC5553750 DOI: 10.1371/journal.pone.0182448] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Accepted: 07/18/2017] [Indexed: 11/30/2022] Open
Abstract
Verbal memory is typically studied using immediate recall (IR) and delayed recall (DR) scores, although DR is dependent on IR capability. Separating these components may be useful for deciphering the genetic variation in age-related memory abilities. This study was conducted to (a) construct individual trajectories in IR and independent aspects of delayed recall, or residualized-DR (rDR), across older adulthood; and (b) identify genetic markers that contribute to four estimated phenotypes: IR and rDR levels and changes after age 60. A cognitively intact sample (N = 20,650 with 125,164 observations) was drawn from the U.S. Health and Retirement Study, a nationally representative study of adults aged 50 and older. Mixed effects regression models were constructed using repeated measures from data collected every two years (1996–2012) to estimate level at age 60 and change in memory post-60 in IR and rDR. Genome-wide association scans (GWAS) were conducted in the genotypic subsample (N = 7,486) using ~1.2 million single nucleotide polymorphisms (SNPs). One SNP (rs2075650) in TOMM40 associated with rDR level at the genome-wide level (p = 5.0x10-08), an effect that replicated in an independent sample from the English Longitudinal Study on Ageing (N = 6,898 with 41,328 observations). Meta-analysis of rDR level confirmed the association (p = 5.0x10-11) and identified two others in TOMM40 (rs71352238 p = 1.0x10-10; rs157582 p = 7.0x10-09), and one in APOE (rs769449 p = 3.1 x10-12). Meta-analysis of IR change identified associations with three of the same SNPs in TOMM40 (rs157582 p = 8.3x10-10; rs71352238 p = 1.9x10-09) and APOE (rs769449 p = 2.2x10-08). Conditional analyses indicate GWAS signals on rDR level were driven by APOE, whereas signals on IR change were driven by TOMM40. Additionally, we found that TOMM40 had effects independent of APOE e4 on both phenotypes. Findings from this first U.S. population-based GWAS study conducted on both age-related immediate and delayed verbal memory merit continued examination in other samples and additional measures of verbal memory.
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Affiliation(s)
- Thalida E. Arpawong
- Department of Psychology, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California, United States of America
- * E-mail:
| | - Neil Pendleton
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, The University of Manchester, Manchester, United Kingdom
| | - Krisztina Mekli
- Cathie Marsh Institute for Social Research, The University of Manchester, Manchester, United Kingdom
| | - John J. McArdle
- Department of Psychology, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California, United States of America
- Davis School of Gerontology, University of Southern California, Los Angeles, California, United States of America
| | - Margaret Gatz
- Department of Psychology, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California, United States of America
- Davis School of Gerontology, University of Southern California, Los Angeles, California, United States of America
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Chris Armoskus
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - James A. Knowles
- Department of Psychiatry and the Behavioral Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Carol A. Prescott
- Department of Psychology, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California, United States of America
- Davis School of Gerontology, University of Southern California, Los Angeles, California, United States of America
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Howard DM, Adams MJ, Clarke TK, Wigmore EM, Zeng Y, Hagenaars SP, Lyall DM, Thomson PA, Evans KL, Porteous DJ, Nagy R, Hayward C, Haley CS, Smith BH, Murray AD, Batty GD, Deary IJ, McIntosh AM. Haplotype-based association analysis of general cognitive ability in Generation Scotland, the English Longitudinal Study of Ageing, and UK Biobank. Wellcome Open Res 2017; 2:61. [PMID: 28989979 PMCID: PMC5605947 DOI: 10.12688/wellcomeopenres.12171.1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/07/2017] [Indexed: 01/07/2023] Open
Abstract
Background: Cognitive ability is a heritable trait with a polygenic architecture, for which several associated variants have been identified using genotype-based and candidate gene approaches. Haplotype-based analyses are a complementary technique that take phased genotype data into account, and potentially provide greater statistical power to detect lower frequency variants. Methods: In the present analysis, three cohort studies (n
total = 48,002) were utilised: Generation Scotland: Scottish Family Health Study (GS:SFHS), the English Longitudinal Study of Ageing (ELSA), and the UK Biobank. A genome-wide haplotype-based meta-analysis of cognitive ability was performed, as well as a targeted meta-analysis of several gene coding regions. Results: None of the assessed haplotypes provided evidence of a statistically significant association with cognitive ability in either the individual cohorts or the meta-analysis. Within the meta-analysis, the haplotype with the lowest observed
P-value overlapped with the D-amino acid oxidase activator (
DAOA) gene coding region. This coding region has previously been associated with bipolar disorder, schizophrenia and Alzheimer’s disease, which have all been shown to impact upon cognitive ability. Another potentially interesting region highlighted within the current genome-wide association analysis (GS:SFHS:
P = 4.09 x 10
-7), was the butyrylcholinesterase (
BCHE) gene coding region. The protein encoded by
BCHE has been shown to influence the progression of Alzheimer’s disease and its role in cognitive ability merits further investigation. Conclusions: Although no evidence was found for any haplotypes with a statistically significant association with cognitive ability, our results did provide further evidence that the genetic variants contributing to the variance of cognitive ability are likely to be of small effect.
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Affiliation(s)
- David M Howard
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Mark J Adams
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Toni-Kim Clarke
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Eleanor M Wigmore
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Yanni Zeng
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.,Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Saskia P Hagenaars
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.,Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Donald M Lyall
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Pippa A Thomson
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Kathryn L Evans
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Reka Nagy
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.,Generation Scotland, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Chris S Haley
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Blair H Smith
- Generation Scotland, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.,Division of Population Health Sciences, University of Dundee, Dundee, UK
| | - Alison D Murray
- Generation Scotland, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.,Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, UK
| | - G David Batty
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Department of Psychology, University of Edinburgh, Edinburgh, UK.,Generation Scotland, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.,Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Generation Scotland, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
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58
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Kamkar NH, Morton JB. CanDiD: A Framework for Linking Executive Function and Education. Front Psychol 2017; 8:1187. [PMID: 28751874 PMCID: PMC5507943 DOI: 10.3389/fpsyg.2017.01187] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Accepted: 06/29/2017] [Indexed: 12/02/2022] Open
Abstract
The close association between executive functions (EFs) and educational achievement has led to the idea that targeted EF training might facilitate learning and goal-directed behavior in the classroom. The evidence that training interventions have long-lasting and transferable effects is however decidedly mixed (Melby-Lervåg and Hulme, 2013; Simons et al., 2016). The goal of the current paper is to propose a new CanDiD framework for re-thinking EF and its links to education. Based on findings from basic EF research, the proposed CanDiD framework highlights dynamic and contextual influences on EF and emphasizes the importance of development and individual differences for understanding these effects. Implications for remedial interventions and curriculum design are discussed.
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Affiliation(s)
- Niki H Kamkar
- Department of Psychology, University of Western Ontario, LondonON, Canada
| | - J B Morton
- Department of Psychology, University of Western Ontario, LondonON, Canada
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59
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Abstract
Recent advances in connectomics have led to a synthesis of perspectives regarding the brain's functional organization that reconciles classical concepts of localized specialization with an appreciation for properties that emerge from interactions across distributed functional networks. This provides a more comprehensive framework for understanding neural mechanisms of normal cognition and disease. Although fMRI has not become a routine clinical tool, research has already had important influences on clinical concepts guiding diagnosis and patient management. Here we review illustrative examples. Studies demonstrating the network plasticity possible in adults and the global consequences of even focal brain injuries or disease both have had substantial impact on modern concepts of disease evolution and expression. Applications of functional connectomics in studies of clinical populations are challenging traditional disease classifications and helping to clarify biological relationships between clinical syndromes (and thus also ways of extending indications for, or "re-purposing," current treatments). Large datasets from prospective, longitudinal studies promise to enable the discovery and validation of functional connectomic biomarkers with the potential to identify people at high risk of disease before clinical onset, at a time when treatments may be most effective. Studies of pain and consciousness have catalyzed reconsiderations of approaches to clinical management, but also have stimulated debate about the clinical meaningfulness of differences in internal perceptual or cognitive states inferred from functional connectomics or other physiological correlates. By way of a closing summary, we offer a personal view of immediate challenges and potential opportunities for clinically relevant applications of fMRI-based functional connectomics.
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Affiliation(s)
- Paul M Matthews
- Division of Brain Sciences, Department of Medicine and Centre for Neurotechnology, Imperial College London, London WC12 0NN, UK.
| | - Adam Hampshire
- Division of Brain Sciences, Department of Medicine and Centre for Neurotechnology, Imperial College London, London WC12 0NN, UK
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60
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Osler M, Christensen GT, Garde E, Mortensen EL, Christensen K. Cognitive ability in young adulthood and risk of dementia in a cohort of Danish men, brothers, and twins. Alzheimers Dement 2017; 13:1355-1363. [PMID: 28531378 DOI: 10.1016/j.jalz.2017.04.003] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Revised: 03/07/2017] [Accepted: 04/03/2017] [Indexed: 11/18/2022]
Abstract
INTRODUCTION We examined the association between cognitive ability in young adulthood and dementia in Danish men, brothers, and male twins. METHODS In total, 666,986 men born between 1939 and 1959 were identified for dementia diagnosis in national registries from 1969 to 2016. The association between cognitive ability from draft board examination and dementia was examined using Cox regression. RESULTS During a 44-year follow-up, 6416 (0.96%) men developed dementia, 1760 (0.26%) and 970 (0.15%) of which were classified as Alzheimer's and vascular dementia, respectively. Low cognitive ability was associated with increased risk of dementia (hazard ratio [HR]per SD decrease 1.33 [95% confidence interval {CI} = 1.30-1.35]) with the strongest associations for vascular dementia (HRper SD decrease 1.47 [95% CI = 1.31-1.56]) and a weaker for Alzheimer's disease (HRper SD decrease 1.07 [95% CI = 1.03-1.13]). The intrabrother and twin analyses (taking shared family factors into account) showed attenuated risk estimates but with wide CIs. DISCUSSION Low early-life cognitive ability increases the risk of dementia before the age of 78 years. The association is partly explained by shared family factors.
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Affiliation(s)
- Merete Osler
- Research Center for Prevention and Health, Rigshospitalet-Glostrup, University of Copenhagen, Glostrup, Denmark; Department of Public Health, University of Copenhagen, Denmark; Department of Public Health, Danish Aging Research Center, University of Southern Denmark, Odense, Denmark.
| | - Gunhild T Christensen
- Research Center for Prevention and Health, Rigshospitalet-Glostrup, University of Copenhagen, Glostrup, Denmark; Department of Public Health, University of Copenhagen, Denmark; Department of Public Health, Danish Aging Research Center, University of Southern Denmark, Odense, Denmark
| | - Ellen Garde
- Department of Public Health, University of Copenhagen, Denmark; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark; Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Erik L Mortensen
- Department of Public Health, University of Copenhagen, Denmark; Department of Public Health, Danish Aging Research Center, University of Southern Denmark, Odense, Denmark; Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Kaare Christensen
- Department of Public Health, Danish Aging Research Center, University of Southern Denmark, Odense, Denmark; Department of Clinical Genetics, Odense University Hospital, Odense, Denmark; Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
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61
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Swaminathan S, Schellenberg EG, Khalil S. Revisiting the association between music lessons and intelligence: Training effects or music aptitude? INTELLIGENCE 2017. [DOI: 10.1016/j.intell.2017.03.005] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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62
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Williams KM, Hysi PG, Yonova-Doing E, Mahroo OA, Snieder H, Hammond CJ. Phenotypic and genotypic correlation between myopia and intelligence. Sci Rep 2017; 7:45977. [PMID: 28383074 PMCID: PMC5382686 DOI: 10.1038/srep45977] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Accepted: 03/07/2017] [Indexed: 01/13/2023] Open
Abstract
Myopia, or near-sightedness, is our most common eye condition and the prevalence is increasing globally. Visual impairment will occur if uncorrected, whilst high myopia causes sight-threatening complications. Myopia is associated with higher intelligence. As both are heritable, we set out to examine whether there is a genetic correlation between myopia and intelligence in over 1,500 subjects (aged 14-18 years) from a twin birth cohort. The phenotypic correlation between refractive error and intelligence was -0.116 (p < 0.01) - the inverse correlation due to the fact that myopia is a negative refractive error. Bivariate twin modeling confirmed both traits were heritable (refractive error 85%, intelligence 47%) and the genetic correlation was -0.143 (95% CI -0.013 to -0.273). Of the small phenotypic correlation the majority (78%) was explained by genetic factors. Polygenic risk scores were constructed based on common genetic variants identified in previous genome-wide association studies of refractive error and intelligence. Genetic variants for intelligence and refractive error explain some of the reciprocal variance, suggesting genetic pleiotropy; in the best-fit model the polygenic score for intelligence explained 0.99% (p = 0.008) of refractive error variance. These novel findings indicate shared genetic factors contribute significantly to the covariance between myopia and intelligence.
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Affiliation(s)
- Katie M. Williams
- Department of Ophthalmology, King’s College London, 3rd Floor Block D South Wing, St Thomas’ Hospital, Westminster Bridge Road, London, SE1 7EH, UK
- Department of Twin Research & Genetic Epidemiology, King’s College London, 3rd Floor Block D South Wing, St Thomas’ Hospital, Westminster Bridge Road, London, SE1 7EH, UK
| | - Pirro G. Hysi
- Department of Twin Research & Genetic Epidemiology, King’s College London, 3rd Floor Block D South Wing, St Thomas’ Hospital, Westminster Bridge Road, London, SE1 7EH, UK
| | - Ekaterina Yonova-Doing
- Department of Twin Research & Genetic Epidemiology, King’s College London, 3rd Floor Block D South Wing, St Thomas’ Hospital, Westminster Bridge Road, London, SE1 7EH, UK
| | - Omar A. Mahroo
- Department of Ophthalmology, King’s College London, 3rd Floor Block D South Wing, St Thomas’ Hospital, Westminster Bridge Road, London, SE1 7EH, UK
| | - Harold Snieder
- Unit of Genetic Epidemiology & Bioinformatics, Department of Epidemiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, The Netherlands
| | - Christopher J. Hammond
- Department of Ophthalmology, King’s College London, 3rd Floor Block D South Wing, St Thomas’ Hospital, Westminster Bridge Road, London, SE1 7EH, UK
- Department of Twin Research & Genetic Epidemiology, King’s College London, 3rd Floor Block D South Wing, St Thomas’ Hospital, Westminster Bridge Road, London, SE1 7EH, UK
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63
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Cairó O. Assessing Relevance of External Cognitive Measures. Front Integr Neurosci 2017; 11:3. [PMID: 28270753 PMCID: PMC5319308 DOI: 10.3389/fnint.2017.00003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Accepted: 02/07/2017] [Indexed: 12/03/2022] Open
Abstract
The arrival of modern brain imaging technologies has provided new opportunities for examining the biological essence of human intelligence as well as the relationship between brain size and cognition. Thanks to these advances, we can now state that the relationship between brain size and intelligence has never been well understood. This view is supported by findings showing that cognition is correlated more with brain tissues than sheer brain size. The complexity of cellular and molecular organization of neural connections actually determines the computational capacity of the brain. In this review article, we determine that while genotypes are responsible for defining the theoretical limits of intelligence, what is primarily responsible for determining whether those limits are reached or exceeded is experience (environmental influence). Therefore, we contend that the gene-environment interplay defines the intelligent quotient of an individual.
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Affiliation(s)
- Osvaldo Cairó
- Department of Computer Science, Instituto Tecnológico Autónomo de México (ITAM) Mexico City, Mexico
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64
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Harris MA, Cox SR, Brett CE, Deary IJ, MacLullich AMJ. Stress in childhood, adolescence and early adulthood, and cortisol levels in older age. Stress 2017; 20:140-148. [PMID: 28140738 PMCID: PMC5399806 DOI: 10.1080/10253890.2017.1289168] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
The glucocorticoid hypothesis suggests that overexposure to stress may cause permanent upregulation of cortisol. Stress in youth may therefore influence cortisol levels even in older age. Using data from the 6-Day Sample, we investigated the effects of high stress in childhood, adolescence and early adulthood - as well as individual variables contributing to these measures; parental loss, social deprivation, school and home moves, illness, divorce and job instability - upon cortisol levels at age 77 years. Waking, waking +45 min (peak) and evening salivary cortisol samples were collected from 159 participants, and the 150 who were not using steroid medications were included in this study. After correcting for multiple comparisons, the only significant association was between early-adulthood job instability and later-life peak cortisol levels. After excluding participants with dementia or possible mild cognitive impairment, early-adulthood high stress showed significant associations with lower evening and mean cortisol levels, suggesting downregulation by stress, but these results did not survive correction for multiple comparisons. Overall, our results do not provide strong evidence of a relationship between stress in youth and later-life cortisol levels, but do suggest that some more long-term stressors, such as job instability, may indeed produce lasting upregulation of cortisol, persisting into the mid-to-late seventies.
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Affiliation(s)
- Mathew A. Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- CONTACT Mathew A. HarrisBrain Imaging Research Centre, Department of Clinical Neurosciences, Western General HospitalCrewe Road South, Edinburgh EH4 2XUUK
| | - Simon R. Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Caroline E. Brett
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- School of Natural Sciences and Psychology, Liverpool John Moores University, Liverpool, UK
| | - Ian J. Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Alasdair M. J. MacLullich
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Edinburgh Delirium Research Group, Geriatric Medicine Unit, University of Edinburgh, Edinburgh, UK
- Endocrinology Unit, University of Edinburgh, Edinburgh, UK
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65
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Trampush JW, Yang MLZ, Yu J, Knowles E, Davies G, Liewald DC, Starr JM, Djurovic S, Melle I, Sundet K, Christoforou A, Reinvang I, DeRosse P, Lundervold AJ, Steen VM, Espeseth T, Räikkönen K, Widen E, Palotie A, Eriksson JG, Giegling I, Konte B, Roussos P, Giakoumaki S, Burdick KE, Payton A, Ollier W, Horan M, Chiba-Falek O, Attix DK, Need AC, Cirulli ET, Voineskos AN, Stefanis NC, Avramopoulos D, Hatzimanolis A, Arking DE, Smyrnis N, Bilder RM, Freimer NA, Cannon TD, London E, Poldrack RA, Sabb FW, Congdon E, Conley ED, Scult MA, Dickinson D, Straub RE, Donohoe G, Morris D, Corvin A, Gill M, Hariri AR, Weinberger DR, Pendleton N, Bitsios P, Rujescu D, Lahti J, Le Hellard S, Keller MC, Andreassen OA, Deary IJ, Glahn DC, Malhotra AK, Lencz T. GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium. Mol Psychiatry 2017; 22:336-345. [PMID: 28093568 PMCID: PMC5322272 DOI: 10.1038/mp.2016.244] [Citation(s) in RCA: 136] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Revised: 10/30/2016] [Accepted: 11/03/2016] [Indexed: 01/12/2023]
Abstract
The complex nature of human cognition has resulted in cognitive genomics lagging behind many other fields in terms of gene discovery using genome-wide association study (GWAS) methods. In an attempt to overcome these barriers, the current study utilized GWAS meta-analysis to examine the association of common genetic variation (~8M single-nucleotide polymorphisms (SNP) with minor allele frequency ⩾1%) to general cognitive function in a sample of 35 298 healthy individuals of European ancestry across 24 cohorts in the Cognitive Genomics Consortium (COGENT). In addition, we utilized individual SNP lookups and polygenic score analyses to identify genetic overlap with other relevant neurobehavioral phenotypes. Our primary GWAS meta-analysis identified two novel SNP loci (top SNPs: rs76114856 in the CENPO gene on chromosome 2 and rs6669072 near LOC105378853 on chromosome 1) associated with cognitive performance at the genome-wide significance level (P<5 × 10-8). Gene-based analysis identified an additional three Bonferroni-corrected significant loci at chromosomes 17q21.31, 17p13.1 and 1p13.3. Altogether, common variation across the genome resulted in a conservatively estimated SNP heritability of 21.5% (s.e.=0.01%) for general cognitive function. Integration with prior GWAS of cognitive performance and educational attainment yielded several additional significant loci. Finally, we found robust polygenic correlations between cognitive performance and educational attainment, several psychiatric disorders, birth length/weight and smoking behavior, as well as a novel genetic association to the personality trait of openness. These data provide new insight into the genetics of neurocognitive function with relevance to understanding the pathophysiology of neuropsychiatric illness.
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Affiliation(s)
- J W Trampush
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
| | - M L Z Yang
- Institute of Mental Health, Singapore, Singapore
| | - J Yu
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - E Knowles
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - G Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - D C Liewald
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - J M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - S Djurovic
- Department of Medical Genetics, Oslo University Hospital, University of Bergen, Oslo, Norway,NORMENT, K.G. Jebsen Centre for Psychosis Research, University of Bergen, Bergen, Norway
| | - I Melle
- NORMENT, K.G. Jebsen Centre for Psychosis Research, University of Bergen, Bergen, Norway,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - K Sundet
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway,Department of Psychology, University of Oslo, Oslo, Norway
| | - A Christoforou
- NORMENT, K.G. Jebsen Centre for Psychosis Research, University of Bergen, Bergen, Norway,Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - I Reinvang
- Department of Psychology, University of Oslo, Oslo, Norway
| | - P DeRosse
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - A J Lundervold
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - V M Steen
- NORMENT, K.G. Jebsen Centre for Psychosis Research, University of Bergen, Bergen, Norway,Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - T Espeseth
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway,Department of Psychology, University of Oslo, Oslo, Norway
| | - K Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - E Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - A Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland,Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK,Department of Medical Genetics, University of Helsinki and University Central Hospital, Helsinki, Finland
| | - J G Eriksson
- National Institute for Health and Welfare, Helsinki, Finland,Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland,Helsinki University Central Hospital, Unit of General Practice, Helsinki, Finland,Folkhälsan Research Centre, Helsinki, Finland
| | - I Giegling
- Department of Psychiatry, Martin Luther University of Halle-Wittenberg, Halle, Germany
| | - B Konte
- Department of Psychiatry, Martin Luther University of Halle-Wittenberg, Halle, Germany
| | - P Roussos
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA,Department of Genetics and Genomic Science and Institute for Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA,Mental Illness Research, Education, and Clinical Center (VISN 3), James J. Peters VA Medical Center, Bronx, NY, USA
| | - S Giakoumaki
- Department of Psychology, University of Crete, Rethymno, Greece
| | - K E Burdick
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA,Mental Illness Research, Education, and Clinical Center (VISN 3), James J. Peters VA Medical Center, Bronx, NY, USA
| | - A Payton
- Manchester Centre for Audiology and Deafness, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK,Division of Evolution and Genomic Sciences, School of Biological Sciences, The University of Manchester, Manchester, UK
| | - W Ollier
- Centre for Integrated Genomic Medical Research, Institute of Population Health, University of Manchester, Manchester, UK
| | - M Horan
- Manchester Medical School, Institute of Brain, Behaviour, and Mental Health, University of Manchester, Manchester, UK
| | - O Chiba-Falek
- Department of Neurology, Bryan Alzheimer's Disease Research Center, and Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC, USA
| | - D K Attix
- Department of Neurology, Bryan Alzheimer's Disease Research Center, and Center for Genomic and Computational Biology, Duke University Medical Center, Durham, NC, USA,Division of Medical Psychology, Department of Neurology, Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - A C Need
- Division of Brain Sciences, Department of Medicine, Imperial College, London, UK
| | - E T Cirulli
- Center for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, NC, USA
| | - A N Voineskos
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
| | - N C Stefanis
- Department of Psychiatry, University of Athens School of Medicine, Eginition Hospital, Athens, Greece,University Mental Health Research Institute, Athens, Greece,Neurobiology Research Institute, Theodor Theohari Cozzika Foundation, Athens, Greece
| | - D Avramopoulos
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA,Department of Psychiatry and McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - A Hatzimanolis
- Department of Psychiatry, University of Athens School of Medicine, Eginition Hospital, Athens, Greece,University Mental Health Research Institute, Athens, Greece,Neurobiology Research Institute, Theodor Theohari Cozzika Foundation, Athens, Greece
| | - D E Arking
- Department of Psychiatry and McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - N Smyrnis
- Department of Psychiatry, University of Athens School of Medicine, Eginition Hospital, Athens, Greece,University Mental Health Research Institute, Athens, Greece
| | - R M Bilder
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - N A Freimer
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - T D Cannon
- Department of Psychology, Yale University, New Haven, CT, USA
| | - E London
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - R A Poldrack
- Department of Psychology, Stanford University, Palo Alto, CA, USA
| | - F W Sabb
- Robert and Beverly Lewis Center for Neuroimaging, University of Oregon, Eugene, OR, USA
| | - E Congdon
- UCLA Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | | | - M A Scult
- Department of Psychology & Neuroscience, Laboratory of NeuroGenetics, Duke University, Durham, NC, USA
| | - D Dickinson
- Clinical and Translational Neuroscience Branch, Intramural Research Program, National Institute of Mental Health, National Institute of Health, Bethesda, MD, USA
| | - R E Straub
- Lieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, MD, USA
| | - G Donohoe
- Department of Psychology, National University of Ireland, Galway, Ireland
| | - D Morris
- Department of Psychiatry, Neuropsychiatric Genetics Research Group, Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - A Corvin
- Department of Psychiatry, Neuropsychiatric Genetics Research Group, Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - M Gill
- Department of Psychiatry, Neuropsychiatric Genetics Research Group, Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - A R Hariri
- Department of Psychology & Neuroscience, Laboratory of NeuroGenetics, Duke University, Durham, NC, USA
| | - D R Weinberger
- Lieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, MD, USA
| | - N Pendleton
- Centre for Integrated Genomic Medical Research, Institute of Population Health, University of Manchester, Manchester, UK,Manchester Medical School, Institute of Brain, Behaviour, and Mental Health, University of Manchester, Manchester, UK
| | - P Bitsios
- Department of Psychiatry and Behavioral Sciences, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - D Rujescu
- Department of Psychiatry, Martin Luther University of Halle-Wittenberg, Halle, Germany
| | - J Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland,Helsinki Collegium for Advanced Studies, University of Helsinki, Helsinki, Finland
| | - S Le Hellard
- NORMENT, K.G. Jebsen Centre for Psychosis Research, University of Bergen, Bergen, Norway,Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - M C Keller
- Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA
| | - O A Andreassen
- NORMENT, K.G. Jebsen Centre for Psychosis Research, University of Bergen, Bergen, Norway,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - I J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - D C Glahn
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - A K Malhotra
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA,Department of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, NY, USA
| | - T Lencz
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA,Department of Psychiatry, Hofstra Northwell School of Medicine, Hempstead, NY, USA,Division of Psychiatry Research, Zucker Hillside Hospital, 75-59 263rd Street, Glen Oaks, NY 11004, USA. E-mail:
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Bókony V, Pipoly I, Szabó K, Preiszner B, Vincze E, Papp S, Seress G, Hammer T, Liker A. Innovative females are more promiscuous in great tits (Parus major). Behav Ecol 2017. [DOI: 10.1093/beheco/arx001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Imlach AR, Ward DD, Stuart KE, Summers MJ, Valenzuela MJ, King AE, Saunders NL, Summers J, Srikanth VK, Robinson A, Vickers JC. Age is no barrier: predictors of academic success in older learners. NPJ SCIENCE OF LEARNING 2017; 2:13. [PMID: 30631459 PMCID: PMC6161509 DOI: 10.1038/s41539-017-0014-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Revised: 10/04/2017] [Accepted: 10/16/2017] [Indexed: 05/18/2023]
Abstract
Although predictors of academic success have been identified in young adults, such predictors are unlikely to translate directly to an older student population, where such information is scarce. The current study aimed to examine cognitive, psychosocial, lifetime, and genetic predictors of university-level academic performance in older adults (50-79 years old). Participants were mostly female (71%) and had a greater than high school education level (M = 14.06 years, SD = 2.76), on average. Two multiple linear regression analyses were conducted. The first examined all potential predictors of grade point average (GPA) in the subset of participants who had volunteered samples for genetic analysis (N = 181). Significant predictors of GPA were then re-examined in a second multiple linear regression using the full sample (N = 329). Our data show that the cognitive domains of episodic memory and language processing, in conjunction with midlife engagement in cognitively stimulating activities, have a role in predicting academic performance as measured by GPA in the first year of study. In contrast, it was determined that age, IQ, gender, working memory, psychosocial factors, and common brain gene polymorphisms linked to brain function, plasticity and degeneration (APOE, BDNF, COMT, KIBRA, SERT) did not influence academic performance. These findings demonstrate that ageing does not impede academic achievement, and that discrete cognitive skills as well as lifetime engagement in cognitively stimulating activities can promote academic success in older adults.
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Affiliation(s)
- Abbie-Rose Imlach
- Wicking Dementia Research & Education Centre, University of Tasmania, Hobart, Australia
| | - David D. Ward
- Wicking Dementia Research & Education Centre, University of Tasmania, Hobart, Australia
- Population Health Sciences, Deutsches Zentrum für Neurodegenerative Erkrankungen, Bonn, Germany
| | - Kimberley E. Stuart
- Wicking Dementia Research & Education Centre, University of Tasmania, Hobart, Australia
| | - Mathew J. Summers
- Wicking Dementia Research & Education Centre, University of Tasmania, Hobart, Australia
- Sunshine Coast Mind and Neuroscience - Thompson Institute, University of the Sunshine Coast, Birtinya, Australia
| | - Michael J. Valenzuela
- Regenerative Neuroscience Group, Brain and Mind Research Institute, University of Sydney, Camperdown, Australia
| | - Anna E. King
- Wicking Dementia Research & Education Centre, University of Tasmania, Hobart, Australia
| | - Nichole L. Saunders
- Wicking Dementia Research & Education Centre, University of Tasmania, Hobart, Australia
| | - Jeffrey Summers
- University of Tasmania, Hobart, Australia
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
| | - Velandai K. Srikanth
- Peninsula Clinical School, Central Clinical School, Monash University, Melbourne, Australia
- Department of Medicine, Peninsula Health, Melbourne, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Andrew Robinson
- Wicking Dementia Research & Education Centre, University of Tasmania, Hobart, Australia
| | - James C. Vickers
- Wicking Dementia Research & Education Centre, University of Tasmania, Hobart, Australia
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Barclay SF, Burles F, Potocki K, Rancourt KM, Nicolson ML, Bech-Hansen NT, Iaria G. Familial aggregation in developmental topographical disorientation (DTD). Cogn Neuropsychol 2016; 33:388-397. [PMID: 27923326 DOI: 10.1080/02643294.2016.1262835] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
A variety of brain lesions may affect the ability to orient, resulting in what is termed "acquired topographical disorientation". In some individuals, however, topographical disorientation is present from childhood, with no apparent brain abnormalities and otherwise intact general cognitive abilities, a condition referred to as "developmental topographical disorientation" (DTD). Individuals affected by DTD often report relatives experiencing the same lifelong orientation difficulties. Here, we sought to assess the familial aggregation of DTD by investigating its occurrence in the families of DTD probands, and in the families of control probands who did not experience topographical disorientation. We found that DTD appears to cluster in the DTD families, with tested relatives displaying the trait, whereas in the control families we did not detect any individuals with DTD. These findings provide the very first evidence for the familial clustering of DTD and motivate further work investigating the genetic factors producing this clustering.
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Affiliation(s)
- Sarah F Barclay
- a Department of Medical Genetics and Alberta Children's Hospital Research Institute, Cumming School of Medicine , University of Calgary , Calgary , AB , Canada
| | - Ford Burles
- b Department of Psychology , Hotchkiss Brain Institute, and Alberta Children's Hospital Research Institute, University of Calgary , Calgary , AB , Canada
| | - Kendra Potocki
- b Department of Psychology , Hotchkiss Brain Institute, and Alberta Children's Hospital Research Institute, University of Calgary , Calgary , AB , Canada
| | - Kate M Rancourt
- a Department of Medical Genetics and Alberta Children's Hospital Research Institute, Cumming School of Medicine , University of Calgary , Calgary , AB , Canada
| | - Mary Lou Nicolson
- a Department of Medical Genetics and Alberta Children's Hospital Research Institute, Cumming School of Medicine , University of Calgary , Calgary , AB , Canada
| | - N Torben Bech-Hansen
- a Department of Medical Genetics and Alberta Children's Hospital Research Institute, Cumming School of Medicine , University of Calgary , Calgary , AB , Canada
| | - Giuseppe Iaria
- b Department of Psychology , Hotchkiss Brain Institute, and Alberta Children's Hospital Research Institute, University of Calgary , Calgary , AB , Canada
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Christensen G, Mortensen E, Christensen K, Osler M. Intelligence in young adulthood and cause-specific mortality in the Danish Conscription Database – A cohort study of 728,160 men. INTELLIGENCE 2016. [DOI: 10.1016/j.intell.2016.08.001] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Fatjó-Vilas M, Prats C, Pomarol-Clotet E, Lázaro L, Moreno C, González-Ortega I, Lera-Miguel S, Miret S, Muñoz MJ, Ibáñez I, Campanera S, Giralt-López M, Cuesta MJ, Peralta V, Ortet G, Parellada M, González-Pinto A, McKenna PJ, Fañanás L. Involvement of NRN1 gene in schizophrenia-spectrum and bipolar disorders and its impact on age at onset and cognitive functioning. World J Biol Psychiatry 2016; 17:129-39. [PMID: 26700405 DOI: 10.3109/15622975.2015.1093658] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
OBJECTIVES Neuritin 1 gene (NRN1) is involved in neurodevelopment processes and synaptic plasticity and its expression is regulated by brain-derived neurotrophic factor (BDNF). We aimed to investigate the association of NRN1 with schizophrenia-spectrum disorders (SSD) and bipolar disorders (BPD), to explore its role in age at onset and cognitive functioning, and to test the epistasis between NRN1 and BDNF. METHODS The study was developed in a sample of 954 SSD/BPD patients and 668 healthy subjects. Genotyping analyses included 11 SNPs in NRN1 and one functional SNP in BDNF. RESULTS The frequency of the haplotype C-C (rs645649-rs582262) was significantly increased in patients compared to controls (P = 0.0043), while the haplotype T-C-C-T-C-A (rs3763180-rs10484320-rs4960155-rs9379002-rs9405890-rs1475157) was more frequent in controls (P = 3.1 × 10(-5)). The variability at NRN1 was nominally related to changes in age at onset and to differences in intelligence quotient, in SSD patients. Epistasis between NRN1 and BDNF was significantly associated with the risk for SSD/BPD (P = 0.005). CONCLUSIONS Results suggest that: (i) NRN1 variability is a shared risk factor for both SSD and BPD, (ii) NRN1 may have a selective impact on age at onset and intelligence in SSD, and (iii) the role of NRN1 seems to be not independent of BDNF.
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Affiliation(s)
- Mar Fatjó-Vilas
- a Departament de Biologia Animal, Facultat de Biologia, Universitat de Barcelona , Barcelona , Spain ; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Spain;,b Instituto De Salud Carlos III, Centro De Investigación Biomédica En Red De Salud Mental (CIBERSAM) , Madrid , Spain
| | - Claudia Prats
- a Departament de Biologia Animal, Facultat de Biologia, Universitat de Barcelona , Barcelona , Spain ; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Spain;,b Instituto De Salud Carlos III, Centro De Investigación Biomédica En Red De Salud Mental (CIBERSAM) , Madrid , Spain
| | - Edith Pomarol-Clotet
- b Instituto De Salud Carlos III, Centro De Investigación Biomédica En Red De Salud Mental (CIBERSAM) , Madrid , Spain ;,c FIDMAG Germanes Hospitalàries, Research Foundation , Barcelona , Spain
| | - Luisa Lázaro
- b Instituto De Salud Carlos III, Centro De Investigación Biomédica En Red De Salud Mental (CIBERSAM) , Madrid , Spain ;,d Servei de Psiquiatria i Psicologia Infantil i Juvenil, Hospital Clínic de Barcelona , Barcelona , Spain ;,e Institut d'investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain; Departament de Psiquiatria i Psicobiologia Clínica, Facultat de Medicina, Universitat de Barcelona , Barcelona , Spain
| | - Carmen Moreno
- b Instituto De Salud Carlos III, Centro De Investigación Biomédica En Red De Salud Mental (CIBERSAM) , Madrid , Spain ;,f Servicio de Psiquiatría del Niño y del Adolescente , Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria del Hospital Gregorio Marañón (IiSGM); Departamento de Psiquiatría, Facultad de Medicina, Universidad Complutense , Madrid , Spain
| | - Itxaso González-Ortega
- b Instituto De Salud Carlos III, Centro De Investigación Biomédica En Red De Salud Mental (CIBERSAM) , Madrid , Spain ;,g Psychiatry Service, University Hospital of Alava-Santiago, EMBREC, EHU/UPV University of the Basque Country, Kronikgune , Vitoria , Spain
| | - Sara Lera-Miguel
- d Servei de Psiquiatria i Psicologia Infantil i Juvenil, Hospital Clínic de Barcelona , Barcelona , Spain
| | - Salvador Miret
- b Instituto De Salud Carlos III, Centro De Investigación Biomédica En Red De Salud Mental (CIBERSAM) , Madrid , Spain ;,h Centre de Salut Mental d'Adults de Lleida, Servei de Psiquiatria, Salut Mental i Addiccions, Hospital Universitari Santa Maria de Lleida , Lleida , Spain
| | - Ma José Muñoz
- i Àrea d'Adolescents, Complex Assistencial en Salut Mental Benito Menni, Sant Boi De Llobregat , Spain
| | - Ignacio Ibáñez
- b Instituto De Salud Carlos III, Centro De Investigación Biomédica En Red De Salud Mental (CIBERSAM) , Madrid , Spain ;,j Departament de Psicologia Bàsica , Clínica i Psicobiologia, Facultat de Ciències de la Salut, Universitat Jaume I , Castelló , Spain
| | - Sílvia Campanera
- h Centre de Salut Mental d'Adults de Lleida, Servei de Psiquiatria, Salut Mental i Addiccions, Hospital Universitari Santa Maria de Lleida , Lleida , Spain
| | - Maria Giralt-López
- i Àrea d'Adolescents, Complex Assistencial en Salut Mental Benito Menni, Sant Boi De Llobregat , Spain
| | - Manuel J Cuesta
- k Servicio de Psiquiatría, Complejo Hospitalario de Navarra, Pamplona Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA) , Pamplona , Spain
| | - Victor Peralta
- k Servicio de Psiquiatría, Complejo Hospitalario de Navarra, Pamplona Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA) , Pamplona , Spain
| | - Generós Ortet
- b Instituto De Salud Carlos III, Centro De Investigación Biomédica En Red De Salud Mental (CIBERSAM) , Madrid , Spain ;,j Departament de Psicologia Bàsica , Clínica i Psicobiologia, Facultat de Ciències de la Salut, Universitat Jaume I , Castelló , Spain
| | - Mara Parellada
- b Instituto De Salud Carlos III, Centro De Investigación Biomédica En Red De Salud Mental (CIBERSAM) , Madrid , Spain ;,f Servicio de Psiquiatría del Niño y del Adolescente , Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria del Hospital Gregorio Marañón (IiSGM); Departamento de Psiquiatría, Facultad de Medicina, Universidad Complutense , Madrid , Spain
| | - Ana González-Pinto
- b Instituto De Salud Carlos III, Centro De Investigación Biomédica En Red De Salud Mental (CIBERSAM) , Madrid , Spain ;,g Psychiatry Service, University Hospital of Alava-Santiago, EMBREC, EHU/UPV University of the Basque Country, Kronikgune , Vitoria , Spain
| | - Peter J McKenna
- b Instituto De Salud Carlos III, Centro De Investigación Biomédica En Red De Salud Mental (CIBERSAM) , Madrid , Spain ;,c FIDMAG Germanes Hospitalàries, Research Foundation , Barcelona , Spain
| | - Lourdes Fañanás
- a Departament de Biologia Animal, Facultat de Biologia, Universitat de Barcelona , Barcelona , Spain ; Institut de Biomedicina de la Universitat de Barcelona (IBUB), Spain;,b Instituto De Salud Carlos III, Centro De Investigación Biomédica En Red De Salud Mental (CIBERSAM) , Madrid , Spain
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Harris MA, Brett CE, Deary IJ, Starr JM. Associations among height, body mass index and intelligence from age 11 to age 78 years. BMC Geriatr 2016; 16:167. [PMID: 27681526 PMCID: PMC5041406 DOI: 10.1186/s12877-016-0340-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Accepted: 09/19/2016] [Indexed: 11/10/2022] Open
Abstract
Background Intelligence is related to both height and body mass index (BMI) at various stages of life. Several studies have demonstrated longitudinal relationships between these measures, but none has established whether height and intelligence, or BMI and intelligence are linked from childhood through to older age. Methods We assessed the relations between these measures over an interval of up to 67 years using data from the 36-Day Sample, an initially-representative sample of Scottish people born in 1936, assessed at age 11 years (N = 6,291) and again at 77–78 years (N = 722). This paper focuses on the 423 participants (6.7 % of the original sample) who provided relevant data in late adulthood. Results Height and intelligence were significantly positively associated in childhood (β = .23) and late adulthood (β = .21–.29). Longitudinal correlations also showed that childhood intelligence predicted late-adulthood height (β = .20), and childhood height predicted late-adulthood cognitive ability (β = .12–.14). We observed no significant relationship between BMI and intelligence either in childhood or in late adulthood, nor any longitudinal association between the two in this sample. Conclusions Our results on height and intelligence are the first to demonstrate that their relationship spans almost seven decades, from childhood through to late adulthood, and they call for further investigation into the mechanisms underlying this lifelong association. Electronic supplementary material The online version of this article (doi:10.1186/s12877-016-0340-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Mathew A Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK. .,Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
| | - Caroline E Brett
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,School of Natural Sciences and Psychology, Liverpool John Moores University, Liverpool, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
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Klaassen P, Duijff S, Swanenburg de Veye H, Beemer F, Sinnema G, Breetvelt E, Schappin R, Vorstman J. Explaining the variable penetrance of CNVs: Parental intelligence modulates expression of intellectual impairment caused by the 22q11.2 deletion. Am J Med Genet B Neuropsychiatr Genet 2016; 171:790-6. [PMID: 26953189 DOI: 10.1002/ajmg.b.32441] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Accepted: 02/04/2016] [Indexed: 12/24/2022]
Abstract
The role of rare genetic variants, in particular copy number variants (CNVs), in the etiology of neurodevelopmental disorders is becoming increasingly clear. While the list of these disorder-related CNVs continues to lengthen, it has also become clear that in nearly all genetic variants the proportion of carriers who express the associated phenotype is far from 100%. To understand this variable penetrance of CNVs it is important to realize that even the largest CNVs represent only a tiny fraction of the entire genome. Therefore, part of the mechanism underlying the variable penetrance of CNVs is likely the modulatory impact of the rest of the genome. In the present study we used the 22q11DS as a model to examine whether the observed penetrance of intellectual impairment-one of the main phenotypes associated with 22q11DS-is modulated by the intellectual level of their parents, for which we used the parents' highest level of education as a proxy. Our results, based on data observed in 171 children with 22q11DS in the age range of 5-15 years, showed a significant association between estimated parental cognitive level and intelligence in offspring (full scale, verbal and performance IQ), with the largest effect size for verbal IQ. These results suggest that possible mechanisms involved in the variable penetrance observed in CNVs include the impact of genetic background and/or environmental influences. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Petra Klaassen
- Department of Medical Psychology, Tergooi, Hilversum, The Netherlands
| | - Sasja Duijff
- Department of Peadiatric Psychology, University Medical Center Utrecht/Wilhelmina Children's Hospital, Utrecht, The Netherlands.,Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Henriëtte Swanenburg de Veye
- Department of Peadiatric Psychology, University Medical Center Utrecht/Wilhelmina Children's Hospital, Utrecht, The Netherlands
| | - Frits Beemer
- Department of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Gerben Sinnema
- Department of Peadiatric Psychology, University Medical Center Utrecht/Wilhelmina Children's Hospital, Utrecht, The Netherlands
| | - Elemi Breetvelt
- Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Renske Schappin
- Department of Peadiatric Psychology, University Medical Center Utrecht/Wilhelmina Children's Hospital, Utrecht, The Netherlands
| | - Jacob Vorstman
- Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
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Chang H, Li L, Peng T, Grigoroiu-Serbanescu M, Bergen SE, Landén M, Hultman CM, Forstner AJ, Strohmaier J, Hecker J, Schulze TG, Müller-Myhsok B, Reif A, Mitchell PB, Martin NG, Cichon S, Nöthen MM, Jamain S, Leboyer M, Bellivier F, Etain B, Kahn JP, Henry C, Rietschel M, Xiao X, Li M. Identification of a Bipolar Disorder Vulnerable Gene CHDH at 3p21.1. Mol Neurobiol 2016; 54:5166-5176. [DOI: 10.1007/s12035-016-0041-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Accepted: 08/05/2016] [Indexed: 10/21/2022]
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Dawes CT, Settle JE, Loewen PJ, McGue M, Iacono WG. Genes, psychological traits and civic engagement. Philos Trans R Soc Lond B Biol Sci 2016; 370:20150015. [PMID: 26503688 DOI: 10.1098/rstb.2015.0015] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Civic engagement is a classic example of a collective action problem: while civic participation improves life in the community as a whole, it is individually costly and thus there is an incentive to free ride on the actions of others. Yet, we observe significant inter-individual variation in the degree to which people are in fact civically engaged. Early accounts reconciling the theoretical prediction with empirical reality focused either on variation in individuals' material resources or their attitudes, but recent work has turned to genetic differences between individuals. We show an underlying genetic contribution to an index of civic engagement (0.41), as well as for the individual acts of engagement of volunteering for community or public service activities (0.33), regularly contributing to charitable causes (0.28) and voting in elections (0.27). There are closer genetic relationships between donating and the other two activities; volunteering and voting are not genetically correlated. Further, we show that most of the correlation between civic engagement and both positive emotionality and verbal IQ can be attributed to genes that affect both traits. These results enrich our understanding of the way in which genetic variation may influence the wide range of collective action problems that individuals face in modern community life.
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Affiliation(s)
| | - Jaime E Settle
- Government Department, College of William & Mary, Williamsburg, VA, USA
| | - Peter John Loewen
- Department of Political Science, University of Toronto, Toronto, Ontario, Canada
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - William G Iacono
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
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A genome-wide analysis of putative functional and exonic variation associated with extremely high intelligence. Mol Psychiatry 2016; 21:1145-51. [PMID: 26239293 PMCID: PMC4650257 DOI: 10.1038/mp.2015.108] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2015] [Revised: 05/21/2015] [Accepted: 06/16/2015] [Indexed: 02/07/2023]
Abstract
Although individual differences in intelligence (general cognitive ability) are highly heritable, molecular genetic analyses to date have had limited success in identifying specific loci responsible for its heritability. This study is the first to investigate exome variation in individuals of extremely high intelligence. Under the quantitative genetic model, sampling from the high extreme of the distribution should provide increased power to detect associations. We therefore performed a case-control association analysis with 1409 individuals drawn from the top 0.0003 (IQ >170) of the population distribution of intelligence and 3253 unselected population-based controls. Our analysis focused on putative functional exonic variants assayed on the Illumina HumanExome BeadChip. We did not observe any individual protein-altering variants that are reproducibly associated with extremely high intelligence and within the entire distribution of intelligence. Moreover, no significant associations were found for multiple rare alleles within individual genes. However, analyses using genome-wide similarity between unrelated individuals (genome-wide complex trait analysis) indicate that the genotyped functional protein-altering variation yields a heritability estimate of 17.4% (s.e. 1.7%) based on a liability model. In addition, investigation of nominally significant associations revealed fewer rare alleles associated with extremely high intelligence than would be expected under the null hypothesis. This observation is consistent with the hypothesis that rare functional alleles are more frequently detrimental than beneficial to intelligence.
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Gaiteri C, Mostafavi S, Honey CJ, De Jager PL, Bennett DA. Genetic variants in Alzheimer disease - molecular and brain network approaches. Nat Rev Neurol 2016; 12:413-27. [PMID: 27282653 PMCID: PMC5017598 DOI: 10.1038/nrneurol.2016.84] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Genetic studies in late-onset Alzheimer disease (LOAD) are aimed at identifying core disease mechanisms and providing potential biomarkers and drug candidates to improve clinical care of AD. However, owing to the complexity of LOAD, including pathological heterogeneity and disease polygenicity, extraction of actionable guidance from LOAD genetics has been challenging. Past attempts to summarize the effects of LOAD-associated genetic variants have used pathway analysis and collections of small-scale experiments to hypothesize functional convergence across several variants. In this Review, we discuss how the study of molecular, cellular and brain networks provides additional information on the effects of LOAD-associated genetic variants. We then discuss emerging combinations of these omic data sets into multiscale models, which provide a more comprehensive representation of the effects of LOAD-associated genetic variants at multiple biophysical scales. Furthermore, we highlight the clinical potential of mechanistically coupling genetic variants and disease phenotypes with multiscale brain models.
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Affiliation(s)
- Chris Gaiteri
- Rush Alzheimer's Disease Center, Rush University Medical Center, 600 S Paulina Street, Chicago, Illinois 60612, USA
| | - Sara Mostafavi
- Department of Statistics, and Medical Genetics; Centre for Molecular and Medicine and Therapeutics, University of British Columbia, 950 West 28th Avenue, Vancouver, British Columbia V5Z 4H4, Canada
| | - Christopher J Honey
- Department of Psychology, University of Toronto, 100 St. George Street, 4th Floor Sidney Smith Hall, Toronto, Ontario M5S 3G3, Canada
| | - Philip L De Jager
- Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Departments of Neurology and Psychiatry, Brigham and Women's Hospital, 75 Francis Street, Boston MA 02115, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, 600 S Paulina Street, Chicago, Illinois 60612, USA
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Liebers DT, Pirooznia M, Seiffudin F, Musliner KL, Zandi PP, Goes FS. Polygenic Risk of Schizophrenia and Cognition in a Population-Based Survey of Older Adults. Schizophr Bull 2016; 42:984-91. [PMID: 26873889 PMCID: PMC4903061 DOI: 10.1093/schbul/sbw001] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Cognitive impairment is a common feature of the major psychotic disorders, with deficits often present in at risk individuals and unaffected first-degree relatives. Previous studies have suggested that polygenic risk scores (PRS) for schizophrenia (SCZ) are associated with cognitive deficits, but there has been little examination of this association in longitudinal datasets, or comparison with other disorders. We used mixed models to study the association between PRS for 4 adult onset psychiatric disorders with cross-sectional cognitive performance and longitudinal cognitive decline in 8616 older adults from the Health and Retirement Study (HRS), followed for an average of 10 years. PRS were computed for SCZ, bipolar disorder (BD), Major Depressive Disorder (MDD), and Alzheimer's disease (ALZ). SCZ PRS associated with decreased cognitive function (z = -3.00, P = .001, ΔR (2) = 0.04%), which was largely driven by an association with impaired attention and orientation (z = -3.33, P = 4.3×10(-4), ΔR (2) = 0.08%). We found no effect of BD or MDD PRS on cognition, in contrast to a robust effect of the APOE4/TOMM40 locus (z = -5.05, P = 2.2×10(-7), ΔR (2) = 0.36%), which was primarily associated with impaired verbal memory (z = -5.15, P = 1.3×10(-7), ΔR (2) = 0.21%). APOE4/TOMM40 locus and the ALZ PRS, but not the PRS for SCZ, were associated with greater cognitive decline. In summary, using a large, representative sample of older adults, we found evidence for different degrees of association between polygenic risk for SCZ and genetic risk factors for ALZ on cognitive function and decline, highlighting potential differences in the pathophysiology of cognitive deficits seen in SCZ and ALZ.
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Affiliation(s)
- David T. Liebers
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD
| | - Mehdi Pirooznia
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD
| | - Fayaz Seiffudin
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD
| | - Katherine L. Musliner
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Peter P. Zandi
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD;,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Fernando S. Goes
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD;,*To whom correspondence should be addressed; Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Meyer 4-119A, 600 N. Wolfe Street, Baltimore, MD 21287, US; tel: 443-287-6382, fax: 410-502-0065, e-mail:
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78
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Howrigan DP, Simonson MA, Davies G, Harris SE, Tenesa A, Starr JM, Liewald DC, Deary IJ, McRae A, Wright MJ, Montgomery GW, Hansell N, Martin NG, Payton A, Horan M, Ollier WE, Abdellaoui A, Boomsma DI, DeRosse P, Knowles EEM, Glahn DC, Djurovic S, Melle I, Andreassen OA, Christoforou A, Steen VM, Hellard SL, Sundet K, Reinvang I, Espeseth T, Lundervold AJ, Giegling I, Konte B, Hartmann AM, Rujescu D, Roussos P, Giakoumaki S, Burdick KE, Bitsios P, Donohoe G, Corley RP, Visscher PM, Pendleton N, Malhotra AK, Neale BM, Lencz T, Keller MC. Genome-wide autozygosity is associated with lower general cognitive ability. Mol Psychiatry 2016; 21:837-43. [PMID: 26390830 PMCID: PMC4803638 DOI: 10.1038/mp.2015.120] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2015] [Revised: 05/23/2015] [Accepted: 07/13/2015] [Indexed: 01/12/2023]
Abstract
Inbreeding depression refers to lower fitness among offspring of genetic relatives. This reduced fitness is caused by the inheritance of two identical chromosomal segments (autozygosity) across the genome, which may expose the effects of (partially) recessive deleterious mutations. Even among outbred populations, autozygosity can occur to varying degrees due to cryptic relatedness between parents. Using dense genome-wide single-nucleotide polymorphism (SNP) data, we examined the degree to which autozygosity associated with measured cognitive ability in an unselected sample of 4854 participants of European ancestry. We used runs of homozygosity-multiple homozygous SNPs in a row-to estimate autozygous tracts across the genome. We found that increased levels of autozygosity predicted lower general cognitive ability, and estimate a drop of 0.6 s.d. among the offspring of first cousins (P=0.003-0.02 depending on the model). This effect came predominantly from long and rare autozygous tracts, which theory predicts as more likely to be deleterious than short and common tracts. Association mapping of autozygous tracts did not reveal any specific regions that were predictive beyond chance after correcting for multiple testing genome wide. The observed effect size is consistent with studies of cognitive decline among offspring of known consanguineous relationships. These findings suggest a role for multiple recessive or partially recessive alleles in general cognitive ability, and that alleles decreasing general cognitive ability have been selected against over evolutionary time.
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Affiliation(s)
- D P Howrigan
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Genetics, Broad Institute of Harvard and MIT, Cambridge Center, Cambridge, MA, USA
| | - M A Simonson
- Division of Data Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - G Davies
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - S E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK
| | - A Tenesa
- Institute of Genetics and Molecular Medicine, MRC Human Genetics Unit, Western General Hospital, University of Edinburgh, Edinburgh, UK
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Roslin, UK
| | - J M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - D C Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - I J Deary
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - A McRae
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - M J Wright
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - G W Montgomery
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - N Hansell
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - N G Martin
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
| | - A Payton
- Centre for Integrated Genomic Medical Research, Institute of Population Health, University of Manchester, Manchester, UK
| | - M Horan
- Centre for Clinical and Cognitive Neurosciences, Institute of Brain Behaviour and Mental Health, University of Manchester, Salford Royal NHS Foundation Trust, Salford, UK
| | - W E Ollier
- Centre for Integrated Genomic Medical Research, Institute of Population Health, University of Manchester, Manchester, UK
| | - A Abdellaoui
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
| | - D I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
- Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
- EMGO+ Institute for Health and Care Research, Amsterdam, The Netherlands
| | - P DeRosse
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
- Hofstra North Shore - LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hempstead, NY, USA
| | - E E M Knowles
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - D C Glahn
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - S Djurovic
- NORMENT, KG Jebsen Centre, Oslo, Norway
- Oslo University Hospital, Oslo, Norway
| | - I Melle
- NORMENT, KG Jebsen Centre, Oslo, Norway
- Oslo University Hospital, Oslo, Norway
- University of Oslo, Oslo, Norway
| | - O A Andreassen
- NORMENT, KG Jebsen Centre, Oslo, Norway
- Oslo University Hospital, Oslo, Norway
- University of Oslo, Oslo, Norway
| | - A Christoforou
- K.G. Jebsen Centre for Psychosis Research, Dr. Einar Martens Research Group for Biological Psychiatry, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - V M Steen
- K.G. Jebsen Centre for Psychosis Research, Dr. Einar Martens Research Group for Biological Psychiatry, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - S L Hellard
- K.G. Jebsen Centre for Psychosis Research, Dr. Einar Martens Research Group for Biological Psychiatry, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - K Sundet
- NORMENT, KG Jebsen Centre, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - I Reinvang
- Department of Psychology, University of Oslo, Oslo, Norway
| | - T Espeseth
- Department of Psychology, University of Oslo, Oslo, Norway
- Norwegian Center for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
| | - A J Lundervold
- K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- Kavli Research Centre for Aging and Dementia, Haraldsplass Deaconess Hospital, Bergen, Norway
| | - I Giegling
- Department of Psychiatry, University of Halle, Halle, Germany
| | - B Konte
- Department of Psychiatry, University of Halle, Halle, Germany
| | - A M Hartmann
- Department of Psychiatry, University of Halle, Halle, Germany
| | - D Rujescu
- Department of Psychiatry, University of Halle, Halle, Germany
| | - P Roussos
- Department of Psychiatry, Friedman Brain Institute, Department of Genetics and Genomic Sciences, and Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- James J. Peters VA Medical Center, Mental Illness Research Education and Clinical Center (MIRECC), Bronx, NY, USA
| | - S Giakoumaki
- Department of Psychology, University of Crete, Rethymno, Crete, Greece
| | - K E Burdick
- Department of Psychiatry, Friedman Brain Institute, Department of Genetics and Genomic Sciences, and Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - P Bitsios
- Department of Psychiatry, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
- Computational Medicine Laboratory, Institute of Computer Science at FORTH, Heraklion, Greece
| | - G Donohoe
- School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - R P Corley
- Institute for Behavioral Genetics, University of Colorado at Boulder, Boulder, CO, USA
| | - P M Visscher
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Queensland Institute of Medical Research Berghofer, Brisbane, QLD, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- University of Queensland Diamantina Institute, The University of Queensland, Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - N Pendleton
- Centre for Integrated Genomic Medical Research, Institute of Population Health, University of Manchester, Manchester, UK
| | - A K Malhotra
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
- Hofstra North Shore - LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hempstead, NY, USA
| | - B M Neale
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Stanley Center for Psychiatric Genetics, Broad Institute of Harvard and MIT, Cambridge Center, Cambridge, MA, USA
| | - T Lencz
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
- Hofstra North Shore - LIJ School of Medicine, Departments of Psychiatry and Molecular Medicine, Hempstead, NY, USA
| | - M C Keller
- Institute for Behavioral Genetics, University of Colorado at Boulder, Boulder, CO, USA
- Department of Psychology, University of Colorado at Boulder, Boulder, CO, USA
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79
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Genome-wide association study of cognitive functions and educational attainment in UK Biobank (N=112 151). Mol Psychiatry 2016; 21:758-67. [PMID: 27046643 PMCID: PMC4879186 DOI: 10.1038/mp.2016.45] [Citation(s) in RCA: 235] [Impact Index Per Article: 29.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2015] [Revised: 01/14/2016] [Accepted: 02/11/2016] [Indexed: 12/13/2022]
Abstract
People's differences in cognitive functions are partly heritable and are associated with important life outcomes. Previous genome-wide association (GWA) studies of cognitive functions have found evidence for polygenic effects yet, to date, there are few replicated genetic associations. Here we use data from the UK Biobank sample to investigate the genetic contributions to variation in tests of three cognitive functions and in educational attainment. GWA analyses were performed for verbal-numerical reasoning (N=36 035), memory (N=112 067), reaction time (N=111 483) and for the attainment of a college or a university degree (N=111 114). We report genome-wide significant single-nucleotide polymorphism (SNP)-based associations in 20 genomic regions, and significant gene-based findings in 46 regions. These include findings in the ATXN2, CYP2DG, APBA1 and CADM2 genes. We report replication of these hits in published GWA studies of cognitive function, educational attainment and childhood intelligence. There is also replication, in UK Biobank, of SNP hits reported previously in GWA studies of educational attainment and cognitive function. GCTA-GREML analyses, using common SNPs (minor allele frequency>0.01), indicated significant SNP-based heritabilities of 31% (s.e.m.=1.8%) for verbal-numerical reasoning, 5% (s.e.m.=0.6%) for memory, 11% (s.e.m.=0.6%) for reaction time and 21% (s.e.m.=0.6%) for educational attainment. Polygenic score analyses indicate that up to 5% of the variance in cognitive test scores can be predicted in an independent cohort. The genomic regions identified include several novel loci, some of which have been associated with intracranial volume, neurodegeneration, Alzheimer's disease and schizophrenia.
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80
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Cognitive Functioning after Surgery in Middle-aged and Elderly Danish Twins. Anesthesiology 2016; 124:312-21. [PMID: 26785430 DOI: 10.1097/aln.0000000000000957] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND Postoperative cognitive dysfunction is common, but it remains unclear whether there are long-term adverse cognitive effects of surgery combined with anesthesia. The authors examined the association between exposure to surgery and level of cognitive functioning in a sample of 8,503 middle-aged and elderly twins. METHODS Results from five cognitive tests were compared in twins exposed to surgery, classified as major, minor, hip and knee replacement, or other, with those of a reference group without surgery using linear regression adjusted for sex and age. Genetic and shared environmental confounding was addressed in intrapair analyses of 87 monozygotic and 124 dizygotic same-sexed twin pairs in whom one had a history of major surgery and the other did not. RESULTS Statistically significantly lower composite cognitive score was found in twins with at least one major surgery compared with the reference group (mean difference, -0.27; 95% CI, -0.48 to -0.06), corresponding to one tenth of an SD, that is, a negligible effect size. In the intrapair analysis, the surgery-exposed co-twin had the lower cognitive score in 49% (95% CI, 42 to 56%) of the pairs. None of the other groups differed from the reference group except the knee and hip replacement group that tended to have higher cognitive scores (mean difference, 0.35; 95% CI, -0.18 to 0.87). CONCLUSIONS A history of major surgery was associated with a negligibly lower level of cognitive functioning. The supplementary analyses suggest that preoperative cognitive functioning and underlying diseases were more important for cognitive functioning in mid- and late life than surgery and anesthesia.
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81
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Abstract
Genetic characterization of individuals at risk of Alzheimer's disease (AD), i.e. people having amyloid deposits in the brain without symptoms, people suffering from subjective cognitive decline (SCD) or mild cognitive impairment (MCI), has spurred the interests of researchers. However, their pre-dementia genetic profile remains mostly unexplored. In this study, we reviewed the loci related to phenotypes of AD, MCI and SCD from literature and performed the first meta-analyses evaluating the role of apolipoprotein E (APOE) in the risk of conversion from a healthy status to MCI and SCD. For AD dementia risk, an increased number of loci have been identified; to date, 28 genes have been associated with Late Onset AD. In MCI syndrome, APOE is confirmed as a pheno-conversion factor leading from MCI to AD, and clusterin is a promising candidate. Additionally, our meta-analyses revealed APOE as genetic risk factor to convert from a healthy status to MCI [OR = 1.849 (1.587-2.153); P = 2.80 × 10-15] and to a lesser extent from healthy status to SCD [OR = 1.151 (1.015-1.304); P = 0.028]. Thus, we believe that genetic studies in longitudinal SCD and MCI series may provide new therapeutic targets and improve the existing knowledge of AD. This type of studies must be completed on healthy subjects to better understand the natural disease resistance to brain insults and neurodegeneration.
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82
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Form and Function of Sleep Spindles across the Lifespan. Neural Plast 2016; 2016:6936381. [PMID: 27190654 PMCID: PMC4848449 DOI: 10.1155/2016/6936381] [Citation(s) in RCA: 101] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Accepted: 03/16/2016] [Indexed: 01/11/2023] Open
Abstract
Since the advent of EEG recordings, sleep spindles have been identified as hallmarks of non-REM sleep. Despite a broad general understanding of mechanisms of spindle generation gleaned from animal studies, the mechanisms underlying certain features of spindles in the human brain, such as “global” versus “local” spindles, are largely unknown. Neither the topography nor the morphology of sleep spindles remains constant throughout the lifespan. It is likely that changes in spindle phenomenology during development and aging are the result of dramatic changes in brain structure and function. Across various developmental windows, spindle activity is correlated with general cognitive aptitude, learning, and memory; however, these correlations vary in strength, and even direction, depending on age and metrics used. Understanding these differences across the lifespan should further clarify how these oscillations are generated and their function under a variety of circumstances. We discuss these issues, and their translational implications for human cognitive function. Because sleep spindles are similarly affected in disorders of neurodevelopment (such as schizophrenia) and during aging (such as neurodegenerative conditions), both types of disorders may benefit from therapies based on a better understanding of spindle function.
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83
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Boccio CM, Beaver KM. The influence of nonshared environmental factors on number and word recall test performance. PERSONALITY AND INDIVIDUAL DIFFERENCES 2016. [DOI: 10.1016/j.paid.2015.12.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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84
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Arvey RD, Li WD, Wang N. Genetics and Organizational Behavior. ANNUAL REVIEW OF ORGANIZATIONAL PSYCHOLOGY AND ORGANIZATIONAL BEHAVIOR 2016. [DOI: 10.1146/annurev-orgpsych-032414-111251] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Articles on the genetics of complex human behaviors and psychological traits provided in past volumes of journals published by Annual Reviews tended to adopt a pathological perspective and focused heavily on the disorders of human affect and behaviors. In our review, we expand our focus to the more general, nonclinical population, and in particular on the advances in the understanding of the genetics of attitudes and behaviors in work settings. We review the recent and emerging literature using a behavioral genetics approach to examine the influence of genetics on a wide array of important constructs in organizational behavior (OB) research and provide unique theoretical insights offered by this approach. We discuss practical implications and future research directions from a broad person-environment interactionist perspective by taking a genetics approach.
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Affiliation(s)
- Richard D. Arvey
- Department of Management and Organization, National University of Singapore, Singapore 119245, Singapore
| | - Wen-Dong Li
- Department of Psychological Sciences, Kansas State University, Manhattan, Kansas 66506
| | - Nan Wang
- Department of Management and Organization, National University of Singapore, Singapore 119245, Singapore
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85
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Clarke TK, Lupton MK, Fernandez-Pujals AM, Starr J, Davies G, Cox S, Pattie A, Liewald DC, Hall LS, MacIntyre DJ, Smith BH, Hocking LJ, Padmanabhan S, Thomson PA, Hayward C, Hansell NK, Montgomery GW, Medland SE, Martin NG, Wright MJ, Porteous DJ, Deary IJ, McIntosh AM. Common polygenic risk for autism spectrum disorder (ASD) is associated with cognitive ability in the general population. Mol Psychiatry 2016; 21:419-25. [PMID: 25754080 PMCID: PMC4759203 DOI: 10.1038/mp.2015.12] [Citation(s) in RCA: 109] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2014] [Revised: 11/25/2014] [Accepted: 12/19/2014] [Indexed: 12/16/2022]
Abstract
Cognitive impairment is common among individuals diagnosed with autism spectrum disorder (ASD) and attention-deficit hyperactivity disorder (ADHD). It has been suggested that some aspects of intelligence are preserved or even superior in people with ASD compared with controls, but consistent evidence is lacking. Few studies have examined the genetic overlap between cognitive ability and ASD/ADHD. The aim of this study was to examine the polygenic overlap between ASD/ADHD and cognitive ability in individuals from the general population. Polygenic risk for ADHD and ASD was calculated from genome-wide association studies of ASD and ADHD conducted by the Psychiatric Genetics Consortium. Risk scores were created in three independent cohorts: Generation Scotland Scottish Family Health Study (GS:SFHS) (n=9863), the Lothian Birth Cohorts 1936 and 1921 (n=1522), and the Brisbane Adolescent Twin Sample (BATS) (n=921). We report that polygenic risk for ASD is positively correlated with general cognitive ability (beta=0.07, P=6 × 10(-7), r(2)=0.003), logical memory and verbal intelligence in GS:SFHS. This was replicated in BATS as a positive association with full-scale intelligent quotient (IQ) (beta=0.07, P=0.03, r(2)=0.005). We did not find consistent evidence that polygenic risk for ADHD was associated with cognitive function; however, a negative correlation with IQ at age 11 years (beta=-0.08, Z=-3.3, P=0.001) was observed in the Lothian Birth Cohorts. These findings are in individuals from the general population, suggesting that the relationship between genetic risk for ASD and intelligence is partly independent of clinical state. These data suggest that common genetic variation relevant for ASD influences general cognitive ability.
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Affiliation(s)
- T-K Clarke
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK,Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh EH10 5HF, UK. E-mail:
| | - M K Lupton
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | | | - J Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - G Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - S Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - A Pattie
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - D C Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - L S Hall
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - D J MacIntyre
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - B H Smith
- Division of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
| | - L J Hocking
- Division of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
| | - S Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - P A Thomson
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Division of Applied Health Sciences, University of Aberdeen, Aberdeen, UK,Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK,Medical Genetics Section, Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - C Hayward
- Medical Genetics Section, Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK,MRC Human Genetics, MRC IGMM, University of Edinburgh, Edinburgh, Scotland, UK
| | - N K Hansell
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - G W Montgomery
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - S E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - N G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - M J Wright
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - D J Porteous
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Division of Applied Health Sciences, University of Aberdeen, Aberdeen, UK,Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK,Medical Genetics Section, Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK,MRC Human Genetics, MRC IGMM, University of Edinburgh, Edinburgh, Scotland, UK,Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - I J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK,Division of Applied Health Sciences, University of Aberdeen, Aberdeen, UK,Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK,Medical Genetics Section, Molecular Medicine Centre, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK,MRC Human Genetics, MRC IGMM, University of Edinburgh, Edinburgh, Scotland, UK,Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK,Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK,Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
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86
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Marks GN, Mooi-Reci I. The declining influence of family background on educational attainment in Australia: The role of measured and unmeasured influences. SOCIAL SCIENCE RESEARCH 2016; 55:171-185. [PMID: 26680296 DOI: 10.1016/j.ssresearch.2015.10.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2014] [Revised: 08/21/2015] [Accepted: 10/21/2015] [Indexed: 06/05/2023]
Abstract
The paper examines changes in the influence of family background, including socioeconomic and social background variables on educational attainment in Australia for cohorts born between 1890 and 1982. We test hypotheses from modernization theory on sibling data using random effects models and find: (i) substantial declines in the influence of family background on educational attainment (indicated by the sibling intraclass correlations); (ii) declines in the effects of both economic and cultural socioeconomic background variables; (iii) changes in the effects of some social background variables (e.g., family size); (iv) and declines in the extent that socioeconomic and social background factors account for variation in educational attainment. Unmeasured family background factors are more important, and proportionally increasingly so, for educational attainment than the measured socioeconomic and social background factors analyzed. Fixed effects models showed steeper declines in the effects of socioeconomic background variables than in standard analyses suggesting that unmeasured family factors associated with socioeconomic background obscure the full extent of the decline.
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Affiliation(s)
- Gary N Marks
- Office of Government, Policy & Strategy, Australian Catholic University, 115 Victoria Parade, Fitzroy Victoria 3065, Australia.
| | - Irma Mooi-Reci
- School of Social and Political Sciences, University of Melbourne, Victoria 3010, Australia
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87
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Effects of BDNF polymorphism and physical activity on episodic memory in the elderly: a cross sectional study. Eur Rev Aging Phys Act 2015; 12:15. [PMID: 26865879 PMCID: PMC4748321 DOI: 10.1186/s11556-015-0159-2] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2015] [Accepted: 12/21/2015] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND The brain-derived neurotrophic factor (BDNF) concentration is highest in the hippocampus compared with that in other brain structures and affects episodic memory, a cognitive function that is impaired in older adults. According to the neurotrophic hypothesis, BDNF released during physical activity enhances brain plasticity and consequently brain health. However, even if the physical activity level is involved in the secretion of neurotrophin, this protein is also under the control of a specific gene. The aim of the present study was to examine the effect of the interaction between physical activity and BDNF Val66Met (rs6265), a genetic polymorphism, on episodic memory. METHODS Two hundred and five volunteers aged 55 and older with a Mini Mental State Examination score ≥ 24 participated in this study. Four groups of participants were established according to their physical activity level and polymorphism BDNF profile (Active Val homozygous, Inactive Val homozygous, Active Met carriers, Inactive Met carriers). Episodic memory was evaluated based on the delayed recall of the Logical Memory test of the MEM III battery. RESULTS As expected, the physical activity level interacted with BDNF polymorphism to affect episodic memory performance (p < .05). The active Val homozygous participants significantly outperformed the active Met carriers and inactive Val homozygous participants. CONCLUSION This study clearly demonstrates an interaction between physical activity and BDNF Val66Met polymorphism that affects episodic memory in the elderly and confirms that physical activity contributes to the neurotrophic mechanism implicated in cognitive health. The interaction shows that only participants with Val/Val polymorphism benefited from physical activity.
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88
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Systems genetics identifies a convergent gene network for cognition and neurodevelopmental disease. Nat Neurosci 2015; 19:223-32. [PMID: 26691832 DOI: 10.1038/nn.4205] [Citation(s) in RCA: 106] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2015] [Accepted: 11/13/2015] [Indexed: 02/07/2023]
Abstract
Genetic determinants of cognition are poorly characterized, and their relationship to genes that confer risk for neurodevelopmental disease is unclear. Here we performed a systems-level analysis of genome-wide gene expression data to infer gene-regulatory networks conserved across species and brain regions. Two of these networks, M1 and M3, showed replicable enrichment for common genetic variants underlying healthy human cognitive abilities, including memory. Using exome sequence data from 6,871 trios, we found that M3 genes were also enriched for mutations ascertained from patients with neurodevelopmental disease generally, and intellectual disability and epileptic encephalopathy in particular. M3 consists of 150 genes whose expression is tightly developmentally regulated, but which are collectively poorly annotated for known functional pathways. These results illustrate how systems-level analyses can reveal previously unappreciated relationships between neurodevelopmental disease-associated genes in the developed human brain, and provide empirical support for a convergent gene-regulatory network influencing cognition and neurodevelopmental disease.
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89
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Seesjärvi E, Särkämö T, Vuoksimaa E, Tervaniemi M, Peretz I, Kaprio J. The Nature and Nurture of Melody: A Twin Study of Musical Pitch and Rhythm Perception. Behav Genet 2015; 46:506-15. [PMID: 26650514 DOI: 10.1007/s10519-015-9774-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2015] [Accepted: 11/23/2015] [Indexed: 11/24/2022]
Abstract
Both genetic and environmental factors are known to play a role in our ability to perceive music, but the degree to which they influence different aspects of music cognition is still unclear. We investigated the relative contribution of genetic and environmental effects on melody perception in 384 young adult twins [69 full monozygotic (MZ) twin pairs, 44 full dizygotic (DZ) twin pairs, 70 MZ twins without a co-twin, and 88 DZ twins without a co-twin]. The participants performed three online music tests requiring the detection of pitch changes in a two-melody comparison task (Scale) and key and rhythm incongruities in single-melody perception tasks (Out-of-key, Off-beat). The results showed predominantly additive genetic effects in the Scale task (58 %, 95 % CI 42-70 %), shared environmental effects in the Out-of-key task (61 %, 49-70 %), and non-shared environmental effects in the Off-beat task (82 %, 61-100 %). This highly different pattern of effects suggests that the contribution of genetic and environmental factors on music perception depends on the degree to which it calls for acquired knowledge of musical tonal and metric structures.
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Affiliation(s)
- Erik Seesjärvi
- Cognitive Brain Research Unit (CBRU), Institute of Behavioural Sciences, University of Helsinki, Siltavuorenpenger 1B, P.O. Box 9, 00014, Helsinki, Finland
| | - Teppo Särkämö
- Cognitive Brain Research Unit (CBRU), Institute of Behavioural Sciences, University of Helsinki, Siltavuorenpenger 1B, P.O. Box 9, 00014, Helsinki, Finland.
| | - Eero Vuoksimaa
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Mari Tervaniemi
- Cognitive Brain Research Unit (CBRU), Institute of Behavioural Sciences, University of Helsinki, Siltavuorenpenger 1B, P.O. Box 9, 00014, Helsinki, Finland
| | - Isabelle Peretz
- International Laboratory for Brain, Music, and Sound Research (BRAMS) and Centre for Research on Brain, Language and Music (CRBLM), Montreal, Canada.,Department of Psychology, Université de Montréal, Montreal, Canada
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, Helsinki, Finland
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90
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Luciano M, Marioni RE, Hernández MV, Maniega SM, Hamilton IF, Royle NA, Scotland G, Chauhan G, Bis JC, Debette S, DeCarli C, Fornage M, Schmidt R, Ikram MA, Launer LJ, Seshadri S, Bastin ME, Porteous DJ, Wardlaw J, Deary IJ. Structural Brain MRI Trait Polygenic Score Prediction of Cognitive Abilities. Twin Res Hum Genet 2015; 18:738-45. [PMID: 26427786 PMCID: PMC4747328 DOI: 10.1017/thg.2015.71] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Structural brain magnetic resonance imaging (MRI) traits share part of their genetic variance with cognitive traits. Here, we use genetic association results from large meta-analytic studies of genome-wide association (GWA) for brain infarcts (BI), white matter hyperintensities, intracranial, hippocampal, and total brain volumes to estimate polygenic scores for these traits in three Scottish samples: Generation Scotland: Scottish Family Health Study (GS:SFHS), and the Lothian Birth Cohorts of 1936 (LBC1936) and 1921 (LBC1921). These five brain MRI trait polygenic scores were then used to: (1) predict corresponding MRI traits in the LBC1936 (numbers ranged 573 to 630 across traits), and (2) predict cognitive traits in all three cohorts (in 8,115-8,250 persons). In the LBC1936, all MRI phenotypic traits were correlated with at least one cognitive measure, and polygenic prediction of MRI traits was observed for intracranial volume. Meta-analysis of the correlations between MRI polygenic scores and cognitive traits revealed a significant negative correlation (maximal r = 0.08) between the HV polygenic score and measures of global cognitive ability collected in childhood and in old age in the Lothian Birth Cohorts. The lack of association to a related general cognitive measure when including the GS:SFHS points to either type 1 error or the importance of using prediction samples that closely match the demographics of the GWA samples from which prediction is based. Ideally, these analyses should be repeated in larger samples with data on both MRI and cognition, and using MRI GWA results from even larger meta-analysis studies.
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Affiliation(s)
- Michelle Luciano
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Riccardo E Marioni
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
- Queensland Brain Institute, The University of Queensland, Brisbane, Australia
| | - Maria Valdés Hernández
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Susana Munoz Maniega
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Iona F Hamilton
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Natalie A. Royle
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Generation Scotland
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Ganesh Chauhan
- Inserm Research Center for Epidemiology and Biostatistics (U897) - Team Neuroepidemiology, Bordeaux, France
- University of Bordeaux, Bordeaux, France
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA
- Department of Medicine, University of Washington, Seattle, WA
| | - Stephanie Debette
- Inserm Research Center for Epidemiology and Biostatistics (U897) - Team Neuroepidemiology, Bordeaux, France
- University of Bordeaux, Bordeaux, France
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
- Department of Neurology, Bordeaux University Hospital, Bordeaux, France
| | - Charles DeCarli
- Department of Neurology and Center for Neuroscience, University of California at Davis, Davis, CA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, Division of Epidemiology, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX
- Human Genetics Center, Division of Epidemiology, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX
| | | | - M. Arfan Ikram
- Departments of Epidemiology, Radiology and Neurology at Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Lenore J. Launer
- Laboratory of Epidemiology, Demography, and Biometry, National Institute on Aging, Bethesda, MD, USA
| | - Sudha Seshadri
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
- Framingham Heart Study
| | - the CHARGE Consortium
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
- Framingham Heart Study
| | - Mark E. Bastin
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - David J. Porteous
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Joanna Wardlaw
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
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91
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Ettinger U, Merten N, Kambeitz J. Meta-analysis of the association of the SLC6A3 3'-UTR VNTR with cognition. Neurosci Biobehav Rev 2015; 60:72-81. [PMID: 26593110 DOI: 10.1016/j.neubiorev.2015.09.021] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Revised: 09/04/2015] [Accepted: 09/24/2015] [Indexed: 12/19/2022]
Abstract
The gene coding for the dopamine transporter (DAT), SLC6A3, contains a 40-base pair variable number of tandem repeats (VNTR) polymorphism (rs28363170) in its 3' untranslated region. This VNTR has been associated with attention deficit hyperactivity disorder (ADHD) and has been investigated in relation to cognition and brain function. Here, we report the results of a comprehensive meta-analysis with meta-regression examining the association of the VNTR with different domains of cognition in healthy adults. We extracted data from 28 independent studies and carried out meta-analyses for associations with working memory (k=10 samples, N=1193 subjects), inhibition (k=8 samples, N=829 subjects), executive functions including inhibition (k=10 samples, N=984 subjects), attention (k=6 samples, N=742 subjects) and declarative long-term memory (k=5 samples, N=251 subjects). None of the investigated dimensions showed significant associations with the VNTR (all p>0.26). Meta-regression including year of publication, gender, age, ethnicity and percentage of 10R-homozygotes similarly did not attain significance. We conclude that there is no evidence that rs28363170 may be a significant predictor of cognitive function in healthy adults.
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Affiliation(s)
- Ulrich Ettinger
- Department of Psychology, University of Bonn, Bonn, Germany.
| | | | - Joseph Kambeitz
- Department of Psychiatry, University of Munich, Munich, Germany
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92
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Chen XF, Wei Z, Wang T, Zhang ZL, Wang Y, Heckman MG, Diehl NN, Zhang YW, Xu H, Bu G. Demographic and Lifestyle Characteristics, but Not Apolipoprotein E Genotype, Are Associated with Intelligence among Young Chinese College Students. PLoS One 2015; 10:e0143157. [PMID: 26574747 PMCID: PMC4648581 DOI: 10.1371/journal.pone.0143157] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2015] [Accepted: 11/02/2015] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Intelligence is an important human feature that strongly affects many life outcomes, including health, life-span, income, educational and occupational attainments. People at all ages differ in their intelligence but the origins of these differences are much debated. A variety of environmental and genetic factors have been reported to be associated with individual intelligence, yet their nature and contribution to intelligence differences have been controversial. OBJECTIVE To investigate the contribution of apolipoprotein E (APOE) genotype, which is associated with the risk for Alzheimer's disease, as well as demographic and lifestyle characteristics, to the variation in intelligence. METHODS A total of 607 Chinese college students aged 18 to 25 years old were included in this prospective observational study. The Chinese revision of Wechsler Adult Intelligence Scale (the fourth edition, short version) was used to determine the intelligence level of participants. Demographic and lifestyle characteristics data were obtained from self-administered questionnaires. RESULTS No significant association was found between APOE polymorphic alleles and different intelligence quotient (IQ) measures. Interestingly, a portion of demographic and lifestyle characteristics, including age, smoking and sleep quality were significantly associated with different IQ measures. CONCLUSIONS Our findings indicate that demographic features and lifestyle characteristics, but not APOE genotype, are associated with intelligence measures among young Chinese college students. Thus, although APOE ε4 allele is a strong genetic risk factor for Alzheimer's disease, it does not seem to impact intelligence at young ages.
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Affiliation(s)
- Xiao-Fen Chen
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, Medical College, Xiamen University, Xiamen, 361102, China
- * E-mail: (XC); (GB)
| | - Zichen Wei
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, Medical College, Xiamen University, Xiamen, 361102, China
| | - Tingting Wang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, Medical College, Xiamen University, Xiamen, 361102, China
| | - Zhen-Lian Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, Medical College, Xiamen University, Xiamen, 361102, China
| | - Yiwei Wang
- The first affiliated hospital of Xiamen university, Xiamen, 361003, China
| | - Michael G. Heckman
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, FL, 32224, United States of America
| | - Nancy N. Diehl
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, FL, 32224, United States of America
| | - Yun-Wu Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, Medical College, Xiamen University, Xiamen, 361102, China
| | - Huaxi Xu
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, Medical College, Xiamen University, Xiamen, 361102, China
| | - Guojun Bu
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, Medical College, Xiamen University, Xiamen, 361102, China
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, United States of America
- * E-mail: (XC); (GB)
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93
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Knyazev GG, Pylkova LV, Slobodskoj-Plusnin JY, Bocharov AV, Ushakov DV. Personality and the neural efficiency theory. PERSONALITY AND INDIVIDUAL DIFFERENCES 2015. [DOI: 10.1016/j.paid.2015.06.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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94
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How specific is second language-learning ability? A twin study exploring the contributions of first language achievement and intelligence to second language achievement. Transl Psychiatry 2015; 5:e638. [PMID: 26393484 PMCID: PMC5068806 DOI: 10.1038/tp.2015.128] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Revised: 06/25/2015] [Accepted: 07/22/2015] [Indexed: 11/08/2022] Open
Abstract
Learning a second language is crucially important in an increasingly global society, yet surprisingly little is known about why individuals differ so substantially in second language (SL) achievement. We used the twin design to assess the nature, nurture and mediators of individual differences in SL achievement. For 6263 twin pairs, we analyzed scores from age 16 UK-wide standardized tests, the General Certificate of Secondary Education (GCSE). We estimated genetic and environmental influences on the variance of SL for specific languages, the links between SL and English and the extent to which the links between SL and English are explained by intelligence. All SL measures showed substantial heritability, although heritability was nonsignificantly lower for German (36%) than the other languages (53-62%). Multivariate genetic analyses indicated that a third of genetic influence in SL is shared with intelligence, a third with English independent of intelligence and a further third is unique to SL.
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95
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Schwartz JA. Socioeconomic status as a moderator of the genetic and shared environmental influence on verbal IQ: A multilevel behavioral genetic approach. INTELLIGENCE 2015. [DOI: 10.1016/j.intell.2015.07.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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96
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School Performance: A Matter of Health or Socio-Economic Background? Findings from the PIAMA Birth Cohort Study. PLoS One 2015; 10:e0134780. [PMID: 26247468 PMCID: PMC4527686 DOI: 10.1371/journal.pone.0134780] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2013] [Accepted: 07/14/2015] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Performance in primary school is a determinant of children's educational attainment and their socio-economic position and health inequalities in adulthood. We examined the relationship between five common childhood health conditions (asthma symptoms, eczema, general health, frequent respiratory infections, and overweight), health related school absence and family socio-economic status on children's school performance. METHODS We used data from 1,865 children in the Dutch PIAMA birth cohort study. School performance was measured as the teacher's assessment of a suitable secondary school level for the child, and the child's score on a standardized achievement test (Cito Test). Both school performance indicators were standardised using Z-scores. Childhood health was indicated by eczema, asthma symptoms, general health, frequent respiratory infections, overweight, and health related school absence. Children's health conditions were reported repeatedly between the age of one to eleven. School absenteeism was reported at age eleven. Highest attained educational level of the mother and father indicated family socio-economic status. We used linear regression models with heteroskedasticity-robust standard errors for our analyses with adjustment for sex of the child. RESULTS The health indicators used in our study were not associated with children's school performance, independently from parental educational level, with the exception of asthma symptoms (-0.03 z-score / -0.04 z-score with Cito Test score after adjusting for respectively maternal and paternal education) and missing more than 5 schooldays due to illness (-0.18 z-score with Cito Test score and -0.17 z-score with school level assessment after adjustment for paternal education). The effect estimates for these health indicators were much smaller though than the effect estimates for parental education, which was strongly associated with children's school performance. CONCLUSION Children's school performance was affected only slightly by a number of common childhood health problems, but was strongly associated with parental education.
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97
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Abstract
Research has shown that genes play an important role in educational achievement. A key question is the extent to which the same genes affect different academic subjects before and after controlling for general intelligence. The present study investigated genetic and environmental influences on, and links between, the various subjects of the age-16 UK-wide standardized GCSE (General Certificate of Secondary Education) examination results for 12,632 twins. Using the twin method that compares identical and non-identical twins, we found that all GCSE subjects were substantially heritable, and that various academic subjects correlated substantially both phenotypically and genetically, even after controlling for intelligence. Further evidence for pleiotropy in academic achievement was found using a method based directly on DNA from unrelated individuals. We conclude that performance differences for all subjects are highly heritable at the end of compulsory education and that many of the same genes affect different subjects independent of intelligence.
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98
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Deary IJ, Weiss A, Batty GD. Intelligence and Personality as Predictors of Illness and Death: How Researchers in Differential Psychology and Chronic Disease Epidemiology Are Collaborating to Understand and Address Health Inequalities. Psychol Sci Public Interest 2015; 11:53-79. [PMID: 26168413 DOI: 10.1177/1529100610387081] [Citation(s) in RCA: 242] [Impact Index Per Article: 26.9] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh Department of Psychology, University of Edinburgh
| | | | - G David Batty
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh Medical Research Council Social and Public Health Sciences Unit, Glasgow Department of Epidemiology and Public Health, University College London
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99
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Trampush JW, Lencz T, Knowles E, Davies G, Guha S, Pe’er I, Liewald DC, Starr JM, Djurovic S, Melle I, Sundet K, Christoforou A, Reinvang I, Mukherjee S, DeRosse P, Lundervold A, Steen VM, John M, Espeseth T, Räikkönen K, Widen E, Palotie A, Eriksson JG, Giegling I, Konte B, Ikeda M, Roussos P, Giakoumaki S, Burdick KE, Payton A, Ollier W, Horan M, Scult M, Dickinson D, Straub RE, Donohoe G, Morris D, Corvin A, Gill M, Hariri A, Weinberger DR, Pendleton N, Iwata N, Darvasi A, Bitsios P, Rujescu D, Lahti J, Le Hellard S, Keller MC, Andreassen OA, Deary IJ, Glahn DC, Malhotra AK. Independent evidence for an association between general cognitive ability and a genetic locus for educational attainment. Am J Med Genet B Neuropsychiatr Genet 2015; 168B:363-73. [PMID: 25951819 PMCID: PMC4500051 DOI: 10.1002/ajmg.b.32319] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2015] [Accepted: 04/15/2015] [Indexed: 11/08/2022]
Abstract
Cognitive deficits and reduced educational achievement are common in psychiatric illness; understanding the genetic basis of cognitive and educational deficits may be informative about the etiology of psychiatric disorders. A recent, large genome-wide association study (GWAS) reported a genome-wide significant locus for years of education, which subsequently demonstrated association to general cognitive ability ("g") in overlapping cohorts. The current study was designed to test whether GWAS hits for educational attainment are involved in general cognitive ability in an independent, large-scale collection of cohorts. Using cohorts in the Cognitive Genomics Consortium (COGENT; up to 20,495 healthy individuals), we examined the relationship between g and variants associated with educational attainment. We next conducted meta-analyses with 24,189 individuals with neurocognitive data from the educational attainment studies, and then with 53,188 largely independent individuals from a recent GWAS of cognition. A SNP (rs1906252) located at chromosome 6q16.1, previously associated with years of schooling, was significantly associated with g (P = 1.47 × 10(-4) ) in COGENT. The first joint analysis of 43,381 non-overlapping individuals for this a priori-designated locus was strongly significant (P = 4.94 × 10(-7) ), and the second joint analysis of 68,159 non-overlapping individuals was even more robust (P = 1.65 × 10(-9) ). These results provide independent replication, in a large-scale dataset, of a genetic locus associated with cognitive function and education. As sample sizes grow, cognitive GWAS will identify increasing numbers of associated loci, as has been accomplished in other polygenic quantitative traits, which may be relevant to psychiatric illness.
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Affiliation(s)
- Joey W. Trampush
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, New York,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York,Hofstra North Shore – LIJ School of Medicine, Department of Psychiatry, Hempstead, New York,Correspondence: Joey W. Trampush, Zucker Hillside Hospital, Division of Psychiatry Research, 75-59 263 Street, Glen Oaks, NY, 11004, USA,
| | - Todd Lencz
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, New York,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York,Hofstra North Shore – LIJ School of Medicine, Department of Psychiatry, Hempstead, New York
| | - Emma Knowles
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Gail Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom,Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Saurav Guha
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, New York
| | - Itsik Pe’er
- Department of Computer Science, Columbia University, New York, New York,Center for Computational Biology and Bioinformatics, Columbia University, New York, New York
| | - David C. Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
| | - John M. Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom,Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, United Kingdom
| | - Srdjan Djurovic
- NorMent, KG Jebsen Centre, Oslo, Norway,Oslo University Hospital, Oslo, Norway
| | - Ingrid Melle
- NorMent, KG Jebsen Centre, Oslo, Norway,Oslo University Hospital, Oslo, Norway,University of Oslo, Oslo, Norway
| | - Kjetil Sundet
- NorMent, KG Jebsen Centre, Oslo, Norway,University of Oslo, Oslo, Norway
| | - Andrea Christoforou
- K.G. Jebsen Centre for Psychosis Research, Dr. Einar Martens Research Group for Biological Psychiatry, Department of Clinical Medicine, University of Bergen, Bergen, Norway,Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Ivar Reinvang
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Semanti Mukherjee
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, New York,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York
| | - Pamela DeRosse
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, New York,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York
| | - Astri Lundervold
- K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Norway,Department of Biological and Medical Psychology, University of Bergen, Norway,Kavli Research Centre for Aging and Dementia, Haraldsplass Deaconess Hospital, Bergen, Norway
| | - Vidar M. Steen
- K.G. Jebsen Centre for Psychosis Research, Dr. Einar Martens Research Group for Biological Psychiatry, Department of Clinical Medicine, University of Bergen, Bergen, Norway,Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Majnu John
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, New York,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York
| | - Thomas Espeseth
- Department of Psychology, University of Oslo, Oslo, Norway,K.G. Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Katri Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Elisabeth Widen
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland,Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, United Kingdom,Department of Medical Genetics, University of Helsinki and University Central Hospital, Helsinki, Finland
| | - Johan G. Eriksson
- National Institute for Health and Welfare, Finland,Department of General Practice and Primary Health Care, University of Helsinki, Finland,Helsinki University Central Hospital, Unit of General Practice, Helsinki, Finland,Folkh€alsan Research Centre, Helsinki, Finland,Vasa Central Hospital, Vasa, Finland
| | - Ina Giegling
- Department of Psychiatry, University of Halle, Halle, Germany
| | - Bettina Konte
- Department of Psychiatry, University of Halle, Halle, Germany
| | - Masashi Ikeda
- Department of Psychiatry, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan
| | - Panos Roussos
- Department of Psychiatry, The Mount Sinai School of Medicine, New York, New York
| | - Stella Giakoumaki
- Department of Psychology, School of Social Sciences, University of Crete, Greece
| | - Katherine E. Burdick
- Department of Psychiatry, The Mount Sinai School of Medicine, New York, New York
| | - Antony Payton
- Centre for Integrated Genomic Medical Research, University of Manchester, Manchester, United Kingdom
| | - William Ollier
- Centre for Integrated Genomic Medical Research, University of Manchester, Manchester, United Kingdom
| | - Mike Horan
- School of Community-Based Medicine, Neurodegeneration Research Group, University of Manchester, Manchester, United Kingdom
| | - Matthew Scult
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, North Carolina
| | - Dwight Dickinson
- Clinical Brain Disorders Brain and Genes, Cognition and Psychosis Program, Intramural Research Program, National Institute of Mental Health, National Institute of Health, Bethesda, Maryland
| | - Richard E. Straub
- Clinical Brain Disorders Brain and Genes, Cognition and Psychosis Program, Intramural Research Program, National Institute of Mental Health, National Institute of Health, Bethesda, Maryland,Lieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, Maryland
| | - Gary Donohoe
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Derek Morris
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Aiden Corvin
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Michael Gill
- Neuropsychiatric Genetics Research Group, Department of Psychiatry and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Ahmad Hariri
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, North Carolina
| | - Daniel R. Weinberger
- Clinical Brain Disorders Brain and Genes, Cognition and Psychosis Program, Intramural Research Program, National Institute of Mental Health, National Institute of Health, Bethesda, Maryland,Lieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, Maryland
| | - Neil Pendleton
- Institute of Brain, Behaviour and Mental Health, University of Manchester, Manchester, United Kingdom
| | - Nakao Iwata
- Department of Psychiatry, School of Medicine, Fujita Health University, Toyoake, Aichi, Japan
| | - Ariel Darvasi
- Department of Genetics, The Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Panos Bitsios
- Department of Psychiatry and Behavioral Sciences, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Dan Rujescu
- Department of Psychiatry, University of Halle, Halle, Germany
| | - Jari Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland,Institute of Genetics, Folkhälsan Research Centre, Helsinki, Finland
| | - Stephanie Le Hellard
- K.G. Jebsen Centre for Psychosis Research, Dr. Einar Martens Research Group for Biological Psychiatry, Department of Clinical Medicine, University of Bergen, Bergen, Norway,Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Matthew C. Keller
- Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado
| | - Ole A. Andreassen
- NorMent, KG Jebsen Centre, Oslo, Norway,Oslo University Hospital, Oslo, Norway,University of Oslo, Oslo, Norway
| | - Ian J. Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom,Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - David C. Glahn
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Anil K. Malhotra
- Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, New York,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York,Hofstra North Shore – LIJ School of Medicine, Department of Psychiatry, Hempstead, New York
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Croston R, Branch C, Kozlovsky D, Dukas R, Pravosudov V. Heritability and the evolution of cognitive traits: Table 1. Behav Ecol 2015. [DOI: 10.1093/beheco/arv088] [Citation(s) in RCA: 81] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
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